SMB Digest May 13, 2015 Volume 15 Issue 19
ISSN 1086-6566
Editor: Richard Schugart richard(dot)schugart(at)gmail(dot)com
Note:
Information about the Society for Mathematical Biology, including an
application for membership, may be found in the SMB Home Page,
http://www.smb.org/ .
Access the Bulletin of Mathematical Biology, the official journal of
SMB, at http://www.springer.com/11538 .
Inquiries about membership or BMB fulfillment should be sent to
membership(at)smb(dot)org .
Issue's Topics:
Symposium: Quantitative Systems Pharmacology, May 26, New York
Conference: BIOMATH 2015-S, Jul 12-17, U Pretoria
Ideas Lab: Biomedical Data Science Challenges, Jul 20-24, SAMSI
Graduate Course: Integrated Models for..., Jul 20-31, Italy
Workshop: Multi-Cell...ComputCell3D & SBW, Aug 9-15, Indiana U
Workshop: Modern Math, Oct 28-29, Washington, DC
Conference: Bioinformatics, Jan 11-13, San Francisco
PhD Positions: Bioengineering & Robotics, Italian Inst of Tech
PhD/Post-doc Positions: Genomic-Metabolic..., Imperial College
PhD/Post-doc Positions: Math & Population Genetics, McGill U
Post-doc: Infectious Disease/Epidemiol. Modeling, Case Western
Post-doc: Infectious Disease Modeling, North Carolina State U
Lectureship: Mathematical Biology, St Andrews U
Position: Biomathematician, Inst Genomics & Multiscale..., NY
NIH Extramural Nexus
SMBnet Reminders
----------------------------------------------------
From: Musante, Cynthia J <Cynthia.J.Musante@pfizer.com>
Date: May 7, 2015 at 9:31:02 AM
Subject: Symposium: Quantitative Systems Pharmacology, May 26, New York
The New York Academy of Sciences (NYAS) will be hosting an upcoming
one-day, scientific symposium titled, ?Quantitative Systems
Pharmacology: Progress Towards Integration into Drug Discovery and
Development.? This symposium will take place at the New York Academy of
Sciences Conference Center in Manhattan on May 26, 2015. Quantitative
Systems Pharmacology (QSP) is a mathematical modeling approach to
translational medicine that integrates quantitative knowledge about a
compound with an understanding of its mechanism of action in the context
of human disease. The goal of QSP modeling is ?to understand, in a
precise, predictive manner, how drugs modulate cellular networks in
space and time and how they impact human pathophysiology.? This
symposium highlights advances in QSP applications in the continuum from
preclinical exploration to clinical research and includes academic,
government, and industry perspectives on the benefits and challenges of
full adoption of this new research paradigm. Case studies from several
therapeutic areas will be presented with applications to drug safety,
efficacy, and precision medicine. Registration for this event is now
open. I invite you to visit www.nyas.org/QSP for more information.
----------------------------------------------------
From: Roumen Anguelov <Roumen.Anguelov@up.ac.za>
Date: May 12, 2015 at 5:38:08 AM
Subject: Conference: BIOMATH 2015-S, Jul 12-17, U Pretoria
BIOMATH 2015-S: Multidisciplinary meeting forum for researchers who
develop and apply mathematical and computational tools to the study of
phenomena in the broad fields of biology, ecology, medicine,
biotechnology, bioengineering, environmental science, etc. Contributed
talks in any of these fields are invited.
12-17 July 2015: University of Pretoria, South Africa. Deadline for
abstract submission: 24 May 2015.
This is a satellite conference to BIOMATH 2015 in Bulgaria.
More information: www.biomath.bg/2015-s, www.up.ac.za/biomath2015-s
Selected papers will be published in special issues of the journals: Biomath,
Mathematics and Computers in Simulations, Bulgarian Chemical
Communications. Manuscripts submission deadline: 30 September 2015.
----------------------------------------------------
From: Henry Warchall <hwarchal@NSF.GOV>
Date: May 5, 2015 at 11:50:53 AM
Subject: Ideas Lab: Biomedical Data Science Challenges, Jul 20-24, SAMSI
Applications are invited for an Ideas Lab on ?Interdisciplinary
Approaches to Biomedical Data Science Challenges: taking place at the
Statistical and Applied Mathematical Sciences Institute (SAMSI) located
in the Research Triangle Park, North Carolina:
Interdisciplinary Approaches to Biomedical Data Science Challenges
SAMSI Ideas Lab
July 20-24, 2015
For information and to apply, visit: http://www.samsi.info/ideas-lab
Application deadline is May 25, 2015.
Applicants will be notified whether they have been accepted by June 8,
2015.
This Ideas Lab is jointly sponsored by the National Institutes of Health
and the National Science Foundation.
----------------------------------------------------
From: christian vergara <christian.vergara@polimi.it>
Date: May 12, 2015 at 11:45:17 PM
Subject: Graduate Course: Integrated Models for..., Jul 20-31, Italy
During the period July 20-31, 2015 the graduate course in ?Integrated
models for computational medicine? will be held in Cortona at Palazzone
of the Scuola Normale Superiore, under the sponsorship of the Consorzio
per l'Alta Formazione in Matematica (CIAFM), the Italian Ministery of
University and Research (MUR) and Istituto di Alta Matematica (INdAM).
The course will be divided into two modules:
i) Geometrical multiscale models of the cardiovascular system;
Lecturers: L. Formaggia, C. Vergara (MOX, Politecnico di MIlano);
ii) Reduced basis, optimal control and application to
cardiovascular modeling; Lecturer: A. Quarteroni, A. Manzoni (CMCS,
EPF de Lausanne)
For further details, see the website
http://germanio.math.unifi.it/courses-cortona/
----------------------------------------------------
From: Maciej Swat <maciekswat@gmail.com>
Date: May 11, 2015 at 2:14:31 PM
Subject: Workshop: Multi-Cell...ComputCell3D & SBW, Aug 9-15, Indiana U
11th Joint User-Training Workshop "Developing Multi-Scale, Multi-Cell
Developmental and Biomedical Simulations with CompuCell3D and SBW"
Workshop dates: August 9 ? 15, 2015
Location: Indiana University, Bloomington campus
Application deadline: June 30th, 2015
For more information: http://www.compucell3d.org/Workshops/Workshop15
To apply contact: Dr. Maciej Swat, mswat@indiana.edu
We are pleased to announce the 11th Joint User-Training Workshop
"Developing Multi-Scale, Multi-Cell Developmental and Biomedical
Simulations with CompuCell3D and SBW". It will focus on teaching the
basics of multi-cell, multi-scale modeling using the open-source
packages CompuCell3D and SBW. The workshop will be taught by many of
the CompuCell3D and SBW developers. We reserved first day of the
workshop (Sunday, Aug 9th, 2015) for Introductory Python Tutorial. If
you are already familiar with Python you may skip this event and join us
on Monday, Aug 10th, 2015. In addition to participating in lectures and
hands-on exercises, each participant will have an opportunity to give 10
minute talk highlighting her/his research interests. Based on our
previous experience, such presentations lead to many future
collaborations as well as make the workshop a more scientifically
stimulating event.
The workshop will be held on the Indiana University, Bloomington campus
from August 9th - 15th, 2015 and is appropriate for Experimental
Biologists, Medical Scientists, Biophysicists, Mathematical Biologists
and Computational Biologists of experience from advanced undergraduates
to senior researchers.
By the completion of the workshop, participants will have implemented a
basic simulation of the particular biological problem involved in their
research.
There is no registration fee and we will also provide lunches and all
workshop materials. Post-course support and collaboration to continue
simulation development is available.
Enrollment is by application only, and early enrollment is encouraged as
the number of workshop spaces is limited. To apply, please send a C.V.
and brief statement of your current research interests and specific
modeling problem(s). Students and postdocs should include a letter of
support from their current adviser.
Deadline for applications is June 30th, 2015. All submissions must be
by email to Dr. Maciej Swat (mswat@indiana.edu).
For additional information, see the attached poster, contact Maciej
Swat (mswat@indiana.edu), or visit http://www.compucell3d.org. (Please
forward this e-mail to any of your colleagues who might be interested.)
Non-US participants: Before making travel arrangements please consult us
about the type of visa you need to enter the US to avoid last minute
hassles
----------------------------------------------------
From: Catherine Crawley <ccrawley@nimbios.org>
Date: May 4, 2015 at 10:10:28 AM
Subject: Workshop: Modern Math, Oct 28-29, Washington, DC
Call for Applications: Modern Math Workshop
As part of the Mathematical Sciences Collaborative Diversity
Initiatives, nine mathematics institutes are pleased to host their
annual pre-conference event, the 2015 Modern Math Workshop (MMW), on
Oct. 28-29, 2015, in Washington, DC. The Workshop immediately precedes
the 2015 Society for Advancement of Chicanos and Native Americans in
Science (SACNAS) annual meeting, Oct. 29-31. The Modern Math Workshop is
intended to encourage minority undergraduates to pursue careers in the
mathematical sciences and to assist undergraduates, graduate students
and recent PhD's in building their research networks. The Modern Math
Workshop begins with registration at noon on Wednesday, October 28 and
ends at noon on Thursday, October 29.
The Modern Math Workshop presents 2 mini-courses for undergraduates and
talks related to the research programs at the math institutes that would
be of interest to graduate students and early career researchers.
Most participants attending this workshop are supported by SACNAS as
part of the SACNAS National Conference. To apply for funding from
SACNAS, please go to www.tinyurl.com/SACNAS-travel-scholarships. If you
receive a notice from SACNAS that you are expected to attend the Modern
Math Workshop (MMW), you will also be receiving a notice from us with a
link for registration for MMW.
There is funding available directly from MMW to fund attendance at MMW
and SACNAS. Priority for these funds will be given to minority graduate
students and early career researchers. Applications will be via
MathPrograms.org.
The application process will start May 15, 2015 and end July 31, 2015.
For more information, visit http://www.msri.org/workshops/789
----------------------------------------------------
From: Phoebe Chen <Phoebe.Chen@latrobe.edu.au>
Date: May 11, 2015 at 6:02:49 PM
Subject: Conference: Bioinformatics, Jan 11-13, San Francisco
APBC2016 - The Fourteenth Asia Pacific Bioinformatics Conference
The Fourteenth Asia Pacific Bioinformatics Conference
San Francisco, United States
11-13 January 2016
http://www.sfasa.org/apbc2016/apbc2016.html
Organization
General Co-Chairs
Jing Huang, Ph.D. (Veracyte, USA)
Ying Lu, Ph.D. (Stanford University, USA)
Philip Bourne, Ph.D. (NIH/OD, USA)
Local Organization Chairs
Jing Huang, Ph.D. (Veracyte, USA)
Hua Tang, Ph.D. (Stanford University)
Haiyan Huang, Ph.D. (University of California, Berkeley, USA)
PC Co-Chairs
Lu Tian, Ph.D. (Stanford University, USA)
Jijun Tang, Ph.D. (University of South Carolina, USA)
Phoebe Chen, Ph.D. (La Trobe University, Australia)
Important Dates
Full Paper submission: July 30, 2015
Author notification: August 30, 2015
Final version due on: October 1, 2015
Full paper author registration deadline: October 20, 2015
Conference start and end dates: January 11 - 13, 2016
The Asia-Pacific Bioinformatics Conference series is an annual forum for
exploring research, development and novel applications of
Bioinformatics.
Call for Papers
APBC2016 invites high-quality original full papers on any topic related
to Bioinformatics and Computational Biology.
The submitted papers must have not been published or under consideration
for publication in any other journal or conference with formal
proceedings.
All accepted papers will have to be presented by one of the authors at
the conference.
Accepted papers will be invited to be published in the journals BMC
Genomics, BMC Bioinformatics, BMC Systems Biology following the
journals' publication policy.
Use the following linked site to make your submission
https://easychair.org/conferences/?conf=apbc2016
----------------------------------------------------
From: Alessandro D'Ausilio <alessandro.dausilio@iit.it>
Date: May 7, 2015 at 11:13:22 AM
Subject: PhD Positions: Bioengineering & Robotics, Italian Inst of Tech
Three PhD positions are offered at the Italian Institute of Technology
(IIT), Robotics, Brain and Cognitive Science Department (RBCS).
http://www.iit.it/rbcs
Theme 5. Neural and motor bases of social interaction
Tutors: Prof. Thierry Pozzo, Dr. Alberto Inuggi, Dr. Alessandro
D'Ausilio
Description: While progress has been made in the field of social
neuroscience, the neural mechanisms underlying social interactions
represent the ?dark matter? of cognition. We need to study real-time
social encounters in a truly interactive manner, with the assumption
that cognition is fundamentally different when we interact with others
rather than merely observe them passively (Schilbach et al., 2013). In
the classic motor control frame of reference, individuals can be
conceived as proactively building models of their action and of their
sensory consequence. During interaction, these sensorimotor models can
be extended to the social space whereby the control signal becomes the
negotiated behavior of other people (Wolpert et al., 2003). Here, we
intend to map the brain activities responsible for the emergence of such
a shared behavior. Recent research has employed the hyper-scanning
technique consisting in the recording of brain activities from multiple
participants engaged in artificial interactive tasks (Hasson et al.,
2012).
The current projects will go beyond current approaches by recording
multimodal data of real face-to-face interaction between two
subjects/agents recorded simultaneously. Recording will include
Electroencephalographic (EEG), Electromyographic (EMG) and body motion
kinematics (MoCap) data. The neural metrics of group collaboration will
be extrapolated by calculating cortical connectivity indexes (Directed
Transfer Function, Partial Directed Coherence), coherence factors among
EEG, EMG and MoCap data and whole body movement features (Berret et al.
2009). This approach will allow the study of the neural and motor bases
of social non-verbal interaction within a group of participants engaged
in a collaborative realistic task.
Requirements: The successful candidate will have a background in
computer science or engineering, programming skills as well as a strong
interest in cognitive neuroscience. Electroencephalographic and
kinematic data analyses skills are a plus.
References:
1. D.M. Wolpert, K. Doya, M. Kawato, A unifying computational framework
for motor control and social interaction, Phil Trans Roy al Soc Lond
Series B: Biol Sci 358, pp. 593?602, 2013
2. U. Hasson, A.A. Ghazanfar, B. Galantucci, S. Garrod, C. Keysers C.,
Brain-to-brain coupling: a mechanism for creating and sharing a social
world. Trends Cognitive Sciences 16(2), pp. 114-121, 2012
3. L. Schilbach, B. Timmermans, V. Reddy, A. Costall, G. Bente, T.
Schlicht, K. Vogeley Toward a second-person neuroscience, Behav Brain
Sci 36, pp. 393-414, 2013
4. B. Berret, F. Bonnetblanc, C. Papaxanthis, T. Pozzo, Modular control
of pointing beyond arm's length, Journal of Neuroscience, 29, pp.
191-205, 2009
Contacts: thierry.pozzo@iit.it; alberto.inuggi@iit.it;
alessandro.dausilio@iit.it
Theme 7. Augmented sensorimotor interaction
Tutors: Dr. Alessandro D?Ausilio, Dr. Leonardo Badino, Prof. Luciano
Fadiga Department: RBCS
Description: The project starts from the assumption that human cultural
and moral evolution can only be based on the development of efficient
cooperation, and coherence among people. In fact, human perception,
action and cognition are geared to enable successful coordination with
others. The MNIlab devises computational methods to quantify the
information flow between human body movements in small group of
participants (Badino et al. 2014). In fact, body movement is the key
channel for non-verbal communication (D?Ausilio et al., 2015). The
successful candidate will work on the extension and consolidation of
this methodology to different scenarios (i.e. small group behavior
during meetings or sport activities) and the development of the
analytical tools to extract in real-time the quantitative flow of
sensorimotor communication (Granger Causality, Transfer Entropy,
Cross-Recurrence Quantification Analysis). The research program will be
complemented by basic motor neurophysiological research on behavioral
coordination (D?Ausilio et al., 2015).
All these aspects will be critical to implement the next generation of
biologically inspired automatic sensorimotor communication recognition
systems. These automatic systems will be essential to augment natural
human-human coordination and promote the future of efficient
human-robot interaction.
Requirements: The successful candidate will have a background in
computer science, engineering, computational neuroscience or
experimental psychology. Programming skills as well as a strong
motivation in bridging the gap between technology and neuroscience are
necessary. Kinematic data analyses skills are a plus.
References:
1. L. Badino, A. D?Ausilio, D. Glowinski, A. Camurri, L. Fadiga,
Sensorimotor communication in professional quartets, Neuropsychologia,
55(1), pp. 98-104, 2014
2. A. D'Ausilio, G. Novembre, L. Fadiga, P.E. Keller, What can music
tell us about social interaction?, Trends Cognitive Sciences, 19(3), pp.
111-114, 2015
3. A. D'Ausilio, E. Bartoli, L. Maffongelli L., Grasping Synergies: A
motor-control approach to the mirror neuron mechanism, Phys Life Rev.
12, pp. 91-103, 2015
Contacts: alessandro.dausilio@iit.it; leonardo.badino@iit.it;
luciano.fadiga@iit.it
Theme 9. Speaking in Concert
Tutors: Prof. Luciano Fadiga, Dr. Leonardo Badino, Dr. Alessandro
D'Ausilio Department: RBCS
Description: While it is now undisputed that speakers engaged in a
conversational interaction are perceived by external listeners as
converging towards each other in how they speak, we do not know yet what
exactly in their speech makes them sound more similar to each other.
Both perceptual tests and detailed acoustic analyses have shown their
limits, the former because they have failed to reveal along which
acoustic/phonetic parameters convergence may occur between speakers, and
the latter because we may not have looked at the right acoustic/phonetic
parameters yet. In addition, little is known about the cerebral
underpinnings of phonetic convergence in speech. The goal of this
project is to better understand what makes speakers sound more like each
other in a conversational interaction. We will achieve this by means of
a set of simultaneous recordings at the neural, articulatory and
acoustic levels, in order to identify the neural features that may
control and modulate the articulatory movements that in turn are at the
origin of convergence in speech. Another major issue will be to
determine whether convergence is symmetrical or asymmetrical, i.e.
whether one partner converges to a greater extent towards the other
partner than the reverse. To address this issue, we will conduct a
series of analyses based on methods such as Granger Causality and
Transfer Entropy, which have already been successfully employed in
studies on sensorimotor convergence (D'Ausilio et al., 2012).
Requirements: A degree in Computer Science, Engineering or equivalent,
with interests in Neuroscience. A background in speech processing,
statistical analysis and machine learning will be appreciated.
Reference:
A. D'Ausilio, L. Badino, L. Yi, S. Tokay, L. Craighero, R. Canto, Y.
Aloimonos, L. Fadiga, Leadership in Orchestra Emerges from the Causal
Relationships of Movement Kinematics. PLoS ONE 7(5)
Contacts: leonardo.badino@iit.it, alessandro.dausilio@iit.it,
luciano.fadiga@iit.it
How to apply
Please note that the positions are available through the PhD course of
BIOENGINEERING AND ROBOTICS, Curriculum Cognitive robotics, interaction
and rehabilitation technologies, offered jointly by IIT and the
University of Genoa. The official call and application forms are
available on the website of the University of Genoa.
The official calls are available here:
[ENG] http://www.iit.it/en/openings/phd-calls.html
[ENG] http://www.iit.it/images/phd-xxxi/RES.THEMES.COGNIROB.INTER.pdf
[ITA] http://www.studenti.unige.it/postlaurea/dottorati/XXXI/IT
Applications must be submitted online, instructions for applicants are
available here:
[ENG] http://phd.dibris.unige.it/biorob/index.php/how-to-apply
Applications are considered for the subsequent selection ONLY if
received ELECTRONICALLY through the UNIVERSITY of GENOA's website by the
deadline.
Application deadline: 10 June 2015, 12pm Italian time
Applicants are strongly encouraged to get in touch the contact person(s)
for the individual themes.
----------------------------------------------------
From: Oyarzún, Diego A <d.oyarzun@imperial.ac.uk>
Date: May 7, 2015 at 12:45:49 PM
Subject: PhD/Post-doc Positions: Genomic-Metabolic..., Imperial College
Postdoctoral and PhD positions in Systems & Synthetic Biology of
genetic-metabolic networks, Department of Mathematics, Imperial College
London
We have two openings as part of a new project funded by the Human
Frontier Science Program:
1) Postdoctoral position in Systems and Synthetic Biology of metabolic
adaptations
2) PhD position in stochastic fluctuations of enzymatic reactions
The successful candidate will join Dr Diego Oyarzún, (Biomathematical
Sciences, Imperial College London) in exciting projects at the interface
between Mathematics, Control Theory, and Systems/Synthetic Biology.
Their general aims are to develop mathematical methods to analyze and
predict metabolic responses from complex gene regulatory networks, and
to showcase how new metabolic responses can be engineered in living
cells.
For additional information please contact Dr Diego Oyarzún
(d.oyarzun@imperial.ac.uk). Details about both posts can be found in
http://www.imperial.ac.uk/people/d.oyarzun. To apply for the
postdoctoral position, please follow this link, application deadline:
05 June 2015. The start date for both posts is 01 September 2015.
----------------------------------------------------
From: Simon Gravel <simon.gravel@gmail.com>
Date: May 12, 2015 at 1:21:01 PM
Subject: PhD/Post-doc Positions: Math & Population Genetics, McGill U
Graduate and postgraduate positions in mathematical and population
genetics
Graduate student and postdoc positions in mathematical and population
genetics are available in Simon Gravel's group at McGill University in
Montreal, Canada. The project aims at creating mathematical models of
historical human migrations, family histories, and high-throughput
genomic data. Students will be involved in conceptual methods
development, implementation, and applications to exciting datasets. This
is a unique opportunity to be involved in work that is relevant and
interesting from a mathematical, medical, and historical perspectives.
We welcome applications from qualified candidates from diverse
backgrounds, including biology, anthropology, mathematics, physics, and
computer science. Programming experience and a demonstrated interest in
mathematics, statistics, or related fields is required.
The position offers an exceptional opportunity to develop theoretical
and computational ideas and apply them to cutting-edge data in a
supportive and thriving research environment.
Applications and queries should be sent to gravellab@gmail.com. Please
include a statement of interest (1 page) and a CV with a list of
publications, contact information for three references, and a
low-resolution scan of official transcripts.
----------------------------------------------------
From: Abbas, Ume <ABBASU@ccf.org>
Date: May 6, 2015 at 2:21:06 PM
Subject: Post-doc: Infectious Disease/Epidemiol. Modeling, Case Western
POSTDOCTORAL RESEARCH POSITION IN INFECTIOUS DISEASE EPIDEMIOLOGY AND
MODELING
We are seeking applications for an exciting position beginning in the
summer of 2015, involving infectious disease modeling for the study of
HIV prevention, antiretroviral drug resistance and public health policy.
This is a full-time position that may be renewed annually subject to
satisfactory performance and the availability of funds.
Qualifications:
-A Ph.D. degree in mathematical epidemiology, applied mathematics,
theoretical physics, engineering, computer science, or related field.
-Strong research experience in mathematical and computational modeling
including formulation and analysis of deterministic and individual-based
models.
-Experience in analytical and quantitative methods, including
deterministic and stochastic differential equations, integral equations,
nonlinear dynamics, probability theory, and stochastic processes.
-Proficiency in scientific computing involving programming, numerical
analysis, symbolic and logical analysis, Monte Carlo simulations, and
computer graphics.
-Outstanding skills in programming (C++) and experience in using
software packages such as Matlab, Mathematica and Microsoft Office.
-Experience with statistical data analysis and related packages, such as
Stata and R.
-Excellent skills in communication, review of scientific literature and
scientific writing.
-Working knowledge of the biology and epidemiology of infectious
diseases, especially HIV, though preferred, is not necessary.
Please submit your curriculum vitae, a statement of research interests
and goals and contact information for three references via email to:
Ume L. Abbas, MD.
Email: abbasu@ccf.org
Cleveland Clinic / Case Western Reserve University
Cleveland, OH United States
----------------------------------------------------
From: Cristina Lanzas <clanzas@ncsu.edu>
Date: May 11, 2015 at 8:04:20 PM
Subject: Post-doc: Infectious Disease Modeling, North Carolina State U
One postdoctoral associate position on infectious disease modeling is
available in Cristina Lanzas? group (Department of Population Health and
Pathobiology, College of Veterinary Medicine, North Carolina State
University). Applicants with a background in mathematical modeling of
infectious diseases and/or network and agent-based modeling are highly
encouraged to apply.
Our group focus is the epidemiology and ecology of enteric and
antimicrobial resistant pathogens in animal and human populations. We
combine data, epidemiological analysis and mathematical models to study
transmission mechanisms, sources of transmission heterogeneity, and to
identify and design control measures to reduce the public health burden
associated with infectious diseases. Our research is currently supported
by NIH and USDA.
The post-doc will work will use animal movement data collected through
real time location systems to develop contact networks and will
integrate the networks on agent-based models for the transmission of
pathogens in cattle populations. Mean-field/compartmental models will be
also developed. The models will be used to assess transmission of
directly and indirectly transmitted pathogens, and evaluate sources of
transmission heterogeneity.
Necessary Education, Experience Skills, Training and Education: The
postdoctoral associates shall have a Ph.D. degree in a relevant
quantitative discipline (ecology, epidemiology, engineering, applied
mathematics, physics, statistics and related fields) and have a deep
interest in interdisciplinary collaboration, strong quantitative and
programming skills and good oral and writing skills are expected.
Experience developing and implementing agent-based models and/or
network models is desirable.
The initial appointment will be for one year, with renewal for two or
more years subject to satisfactory progress and mutual agreement. The
salary will be commensurate with the qualifications and experience of
the individuals. Review of applications will begin May 15th 2015 and
will continue until suitable candidates are identified.
To apply for the position please follow the link:
https://jobs.ncsu.edu/postings/52006
Applicant material includes a cover letter, CV and contact information
for three references.
If you have questions specific to the positions please contact me at
clanzas@ncsu.edu
----------------------------------------------------
From: Mark Chaplain <majc@st-andrews.ac.uk>
Date: May 11, 2015 at 5:20:00 PM
Subject: Lectureship: Mathematical Biology, St Andrews U
The University of St Andrews seeks to appoint an outstanding candidate
to a lectureship position in Mathematical Biology within the School of
Mathematics & Statistics.
Following the appointment of Professor M. Chaplain to the Gregory Chair
of Applied Mathematics, the School is investing in a new research group
in mathematical biology. The successful candidate will join the School
at an exciting time and be part of shaping the future development,
strategy and growth of the new research group. A further lectureship
appointment will be made in early 2016. There is an expected commitment
to interact with colleagues in the Schools of Biology and Medicine and
the James Hutton Institute (http://www.hutton.ac.uk), and develop
interdisciplinary collaborative research projects in the areas of
mathematical/computational biology, medicine and theoretical
ecology. It is also intended that the lecturer will be involved in the
development and running of the new MSc degree programme in Mathematical
Biology, which will commence in September 2016.
The successful candidate should therefore have a PhD in Mathematics (or
cognate discipline), and have either an outstanding research record in
Mathematical Biology, or display a clear potential to work at the
highest level within the field. They must also demonstrate enthusiasm
for genuinely inter-disciplinary research.
Informal approaches concerning this appointment may be made to:
Prof Nik Ruskuc, Head of School, mathshead@mcs.st-andrews.ac.uk
Salary: £38,511 - £47,328 per annum
Full details:
http://www.jobs.ac.uk/job/ATV305/lecturers-in-mathematics-and-mathematical-biology-kc1856/
https://www.vacancies.st-andrews.ac.uk
----------------------------------------------------
From: Bunyavanich, Supinda <supinda.bunyavanich@mssm.edu>
Date: May 8, 2015 at 9:14:53 AM
Subject: Position: Biomathematician, Inst Genomics & Multiscale..., NY
Position: Bioinformatician
Description: The Icahn School of Medicine at Mount Sinai in NY is
seeking a talented, self-motivated individual to participate in cutting
edge research as a member of the Asthma and Allergy group at the
Institute for Genomics and Multiscale Biology
(http://icahn.mssm.edu/departments-and-institutes/genomics).
The successful applicant will join a team that applies computational
analysis and bioinformatics to interpret multi-scale data generated from
subjects with asthma and allergic diseases. Members of the team work
closely with Dr. Supinda Bunyavanich and Dr. Eric Schadt.
Responsibilities:
-Analyze next generation sequencing data, including whole genome,
RNA-Seq, 16S rRNA, metagenome, and methylation data.
-Develop and implement statistical methods and software to analyze next
generation sequencing data for genetic risk, disease mechanism, and drug
response. Projects will include network construction and mining.
-Integrate and translate genetic, genomic, eQTL, structural, and
clinical data into novel diagnostics, therapeutics and disease
mechanisms.
-Maintain complex next generation sequence and array datasets linked to
clinical data.
-Communicate progress with PI regularly and contribute to the success of
the research team.
-Develop and maintain productive collaborations within Mount Sinai and
with outside researchers in academia and industry.
-Publish and present novel research findings in academic journals and
conferences.
-Some supervision of trainees and technical staff may also be required.
Requirements:
-Outstanding programming skills in R, Perl, Python, Java, C++, and Unix
shell scripting.
-Excellent track record of analyzing next generation sequencing data.
Experience in network analysis a plus.
-Demonstrated knowledge of statistics, statistical genetics,
bioinformatics concepts, methods and tools. Familiarity with genomic
data tools, repositories, and databases.
-Strong attention to detail and solid analytical skills.
-Ability to work hard and independently while contributing to the team
effort and adhering to deadlines.
-Excellent oral and written communication skills with track record of
productive collaborations.
-Demonstrated ability to work concurrently on several projects, and good
understanding of analytic complexities to do independent research as
well as assist other researchers.
Education:
MS or PhD in bioinformatics, computer science, computational biology,
genomics, or a related field.
If interested, please submit a letter of interest and CV to Dr. Supinda
Bunyavanich at supinda.bunyavanich@mssm.edu
----------------------------------------------------
From: NIH Extramural Nexus (NIH/OD) <ExtramuralNexus@mail.nih.gov>
Date: May 7, 2015 at 8:43:50 AM
Resent-From: Raymond Mejía <digest.ray@gmail.com>
Subject: NIH Extramural Nexus
For the NIH Extramural Nexus, please go to
https://list.nih.gov/cgi-bin/wa.exe?A2=ind1505&L=extramuralnexus&F=&S=&P=63
----------------------------------------------------
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