----------------------------------------------------
Subject: SMB Digest v14i30
SMB Digest July 21, 2014 Volume 14 Issue 30
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:
Workshop: Modeling Cellular Systems, Oct 1-2, U Heidelberg
Meeting: Mathematical Biology, Oct 29-30, ICMAT, Madrid
Symposium: Keystone, Precision..., Jan 11-16, Montana, US
ToC: J Mathematical Neuroscience
PhD Position: Inverse Problems for Cell Motility, U Sussex
Post-doc: Bulk-surface PDEs for Cell Motility, U Sussex
Post-docs: Cells-in-Motion Cluster of Excellence, U Münster
Lecturer: Infectious Disease Modeller, U Bristol
Lab Appt: Animal Virology, Plum Island Animal Disease Center
R&D Position: Math Biol/Biophysics, US Army ERDC, Vicksburg, MS
NSF Update: Research Training Grants in the Mathematical...
NSF Letter: Optics and Photonics
SMBnet Reminders
----------------------------------------------------
From: Juergen Pahle <juergen@pahle.de>
Date: July 21, 2014 3:34:46 AM
Subject: Workshop: Modeling Cellular Systems, Oct 1-2, U Heidelberg
International BIOMS Workshop on MODELING CELLULAR SYSTEMS
October 1-2, 2014
at BioQuant, University of Heidelberg
The workshop will cover different aspects of modeling cellular systems
broadly categorized into four different non-exclusive topics:
-Signaling pathways and information processing,
-Stochastic modeling,
-Cell motility, and
-Multiscale modeling & Pattern formation.
We are happy to have assembled a number of extraordinary experts in
their fields contributing to an exciting meeting here in Heidelberg. In
correspondence to the intention of BIOMS, the workshop aims at
discussing novel mathematical models and methods to analyze and study
cellular systems.
The registration is now open. We also offer the opportunity to
participants to present a poster or contribute a short talk. Please note
that the number of participants is limited for organizational reasons.
Registrations will be accepted on a first-come first-serve basis.
Further information, including the list of confirmed speakers, online
registration form, and a preliminary program can be found on the
conference website: www.cbs.uni-hd.de/mcs
----------------------------------------------------
From: ANTONIO GOMEZ CORRAL <antonio_gomez@mat.ucm.es>
Date: July 21, 2014 10:14:09 AM
Subject: Meeting: Mathematical Biology, Oct 29-30, ICMAT, Madrid
The Institute of Mathematical Sciences - ICMAT is currently launching a
new line of research focused on Applied Probability, Operations Research
and Statistics. This line aims to cover a wide spectrum of mathematical
problems, including Stochastic Models in Epidemics and Population
Dynamics.
The ICMAT, jointly with the "Stochastic Modeling Group" (Complutense
University of Madrid), organizes a two-day meeting on Mathematical
Biology where introducing concepts, modeling approaches and analytical
tools, so that scientists and researchers interested in this field will
be more prepared to face their research problems.
Attendance is open (no registration fee), but participants are requested
to fill in a registration form before October 15, 2014.
Details:
A Two-day Meeting on Mathematical Biology
ICMAT, Madrid, Spain
October 29-30, 2014
www.icmat.es/congresos/2014/mathbio
----------------------------------------------------
From: keystonesymposia <keystonesymposia@keystonesymposia.org>
Date: July 20, 2014 6:27:45 AM
Subject: Symposium: Keystone, Precision..., Jan 11-16, Montana, US
Precision Genome Engineering and Synthetic Biology
Scholarship Deadline: September 22, 2014
Discounted Abstract Deadline: September 22, 2014
Abstract Deadline: October 14, 2014
Discounted Registration Deadline: November 11, 2014
Please join us for Keystone Symposia?s first conference of the 2015
calendar year on Precision Genome Engineering and Synthetic Biology
conference, January 11?16, 2015 at Big Sky Resort in Montana, USA.
Organized by Philip D. Gregory of Sangamo BioSciences, Jennifer A.
Doudna of HHMI/University of California, Berkeley and Ron Weiss of the
Massachusetts Institute of Technology, the four-day conference will:
-Bring together experts in the development and application of synthetic
biology and gene engineering;
-Explore the latest advances in the field including introducing
mutations to evaluate gene function, generating models of human genetic
disease, performing gene correction, chromosomally integrating synthetic
gene networks that perform complex regulatory functions, and redesigning
genome structure or building whole genomes from scratch;
-Provide an outstanding forum for students, postdoctoral fellows and
senior investigators who envision careers in genome and pathway design.
Visit www.keystonesymposia.org/15A1 to view the full program, apply for
a scholarship, submit an abstract and register.
Submitting an abstract is a great way of participating in the conference
through poster presentation and possible selection for a short talk.
Students and postdoctoral fellows are especially encouraged to apply for
a scholarship, which requires abstract submission.
----------------------------------------------------
From: Stephen Coombes <Stephen.Coombes@nottingham.ac.uk>
Date: July 18, 2014 5:53:11 AM
Subject: ToC: J Mathematical Neuroscience
The Journal of Mathematical Neuroscience publishes research articles on
the mathematical modeling and analysis of all areas of neuroscience. The
current list of journal articles is available at
http://www.mathematical-neuroscience.com/ :
Frequency Preference Response to Oscillatory Inputs in Two-dimensional
Neural Models: A Geometric Approach to Subthreshold Amplitude and Phase
Resonance
Rotstein HG
http://www.mathematical-neuroscience.com/content/4/1/11
Network Symmetry and Binocular Rivalry Experiments
Diekman CO and Golubitsky M
http://www.mathematical-neuroscience.com/content/4/1/12
Effects of Synaptic Plasticity on Phase and Period Locking in a Network
of Two Oscillatory Neurons
Akcay Z, Bose A and Nadim F
http://www.mathematical-neuroscience.com/content/4/1/8
Approximate, not Perfect Synchrony Maximizes the Downstream
Effectiveness of Excitatory Neuronal Ensembles
Börgers C, Li J and Kopell N
http://www.mathematical-neuroscience.com/content/4/1/10
Identification of Criticality in Neuronal Avalanches: II. A Theoretical
and Empirical Investigation of the Driven Case
Hartley C, Taylor TJ, Kiss IZ, Farmer SF and Berthouze L
http://www.mathematical-neuroscience.com/content/4/1/9
----------------------------------------------------
From: Anotida Madzvamuse <A.Madzvamuse@sussex.ac.uk>
Date: July 20, 2014 4:22:45 PM
Subject: PhD Position: Inverse Problems for Cell Motility, U Sussex
PhD studentship on the development of inverse problems for cell
motility; parameter fitting and optimisation
The School of Mathematical & Physical Sciences
The project
This is an exciting PhD position supported by the Leverhulme Trust to
undertake cutting-edge research on the development, analysis and
simulations of inverse problems for cell motility.
The studentship is embedded in a larger research project that seeks to
unravel a new theoretical and computational framework for 3D cell
migration by coupling internal and cell-surface dynamics and modelling
cell interaction with its environment. The student will develop, analyse
and simulate inverse models associated with cell migration (e.g. cell
tracking in 2 and 3 dimensions). There are a host of mathematical and
computational issues associated with inverse problems such as their
well-posedness, proving existence and uniqueness of solutions. There are
computational challenges such as storage of time-evolution numerical
data, stability, convergence and performance of the algorithms.
The successful candidate will join a research team with world-leading
expertise in partial differential equations and will interact closely
with experimentalists and industrialists. They will benefit from
interactions within a team of faculty mathematicians, postdocs and PhD
students.
Award amount
3 years of maintenance bursary at £13863 per year, and a waiver of
UK/EU fees.
Eligibility
UK/EU students are eligible.
Overseas (ex-EU) students may apply, but are required to pay higher
fees - this is a UK Government requirement. Applicants must state how
they would fund the remaining fees. We regret we have no means to fund
the additional fees ourselves.
Applicants must hold, or expect to hold, a UK Bachelor Honours degree at
first class, or a Master?s degree at Distinction. Equivalent non-UK
qualifications will be accepted. Qualifications should be in the
following disciplines: Numerical Analysis and Scientific Computing,
Applied Mathematics or related areas.
Application procedure
Apply through the Sussex on-line portal:
http://www.sussex.ac.uk/pgapplication (2014 admission)
State in the Other Information / Funding section that you are applying
for the "Leverhulme studentship on the Development of Inverse Problems
for Cell Motility with Dr Anotida Madzvamuse".
Upload your CV, details of two referees, transcripts of marks from your
degree(s), and a personal statement. The statement (750 words maximum)
should outline your suitability for the study, what you hope to achieve
from the PhD, and your research experience.
After you have completed your application, send an email to Dr
Madzvamuse ( a.madzvamuse@sussex.ac.uk ) to confirm you have applied.
Timetable
The award will be filled as soon as a suitable candidate can be found.
Last possible date for applications: 21 August 2014.
Arrival and registration date at Sussex: 18 September 2014.
Start date of the studentship (first payment): 01 October 2014.
Further information
This project will be supervised by Dr Anotida Madzvamuse, with
additional supervision by Dr Vanessa Styles and Dr Chandrasekhar
Venkataraman.
Profiles:
Dr Madzvamuse: http://www.sussex.ac.uk/profiles/136962
Dr Styles: http://www.sussex.ac.uk/profiles/16495
Dr Venkataraman: http://www.sussex.ac.uk/profiles/203407
The successful applicant will be encouraged to take on a manageable
quantity of teaching, with the agreement of the main supervisor.
Separate payment will be made, and a short training course provided.
Contact details
All academic enquiries should be directed to Dr Madzvamuse
(a.madzvamuse@sussex.ac.uk)
Enquiries about the application and admissions process should be
directed to the Research & Enterprise Coordinator
(phd@maths.sussex.ac.uk)
----------------------------------------------------
From: Anotida Madzvamuse <A.Madzvamuse@sussex.ac.uk>
Date: July 20, 2014 3:35:47 PM
Subject: Post-doc: Bulk-surface PDEs for Cell Motility, U Sussex
Research Fellow in Mathematics (Fixed Term) Ref 737
School of Mathematical and Physical Sciences
Department of Mathematics
Fixed term for 3 years, full time
Salary range: starting at £30,728 and rising to £36,661 per annum. It
is normal to appoint at the first point of the salary scale.
Closing date for applications: 21 August 2014
Expected start date: 1 September 2014 or as soon as possible thereafter
Description
Development, analysis and simulation of bulk-surface PDEs for cell
motility
We seek to hire a highly motivated and talented Postdoctoral Fellow
within our research group on a fixed term 3 years full time position
starting September 2014. This is a highly desirable position supported
by the Leverhulme Trust research project grant (RPG-2014-149:
Unravelling new mathematics for 3D cell migration) to undertake
cutting-edge research on the development, analysis and simulations of
bulk-surface partial differential equations for cell motility. Modelling
3D cell motility is an emerging open-frontier research problem spanning
several disciplines such as mathematics, numerical analysis, scientific
computing, image analysis, cell biology, plant biology, developmental
biology and biophysics. Hence the aim of this fellowship is to unravel
new 3D whole-cell mathematical and computational models for cell
migration through coupling of internal cell dynamics (in the bulk) to
cell-surface dynamics as well as modelling how cells interact with their
environment. Key to this development is the understanding of the
geometric quantities describing 3D cell shape and movement as well as
the molecular biology underpinning cell movement and deformation.
The fellowship provides full support that includes salary and support
for research activities. The successful candidate will benefit from
interactions with leading applied mathematicians within the Department
of Mathematics. The prospective candidate will also interact closely
with experimentalists and industrialists as well as eminent
mathematicians with expertise in coupling geometric partial differential
equations for cell motility, morphology and pattern formation. The
candidate will pursue independent research in a fast emerging critical
field of research and will acquire advanced mathematical and
computational techniques in areas such as differential geometry,
biophysics, cell motility, developmental biology, numerical analysis and
scientific computing and algorithm development.
Prospective candidates should hold a PhD in Numerical Analysis, Applied
Mathematics, Computational Biology and/or other related disciplines.
Candidates should include with their application the following:
Academic CV
Official academic transcripts
Contact details for two suitable referees
A personal statement (500 words maximum) outlining their suitability for
the position and research experience to date relevant to the project.
Application form
Enquiries: All enquiries should be directed to Dr Anotida Madzvamuse
(a.madzvamuse@sussex.ac.uk) and/or Dr Vanessa Styles
(v.styles@sussex.ac.uk).
Further details can be found at
http://www.sussex.ac.uk/aboutus/jobs/737
Application
Please send completed application form by email to:
mpsrecruitment@sussex.ac.uk
When emailing your application please use the following format in the
'subject' line: (post reference number / post title / your name). If you
are applying for more than one post advertised by the University, please
send a separate email and application form for each post. Please attach
your completed application form and any other documents directly to the
email rather than using a web-based upload / weblink service (e.g.
SkyDrive) otherwise we may not receive your application due to
incompatibility with our email software.
Or post to: Human Resources Division, Sussex House, University of
Sussex, Falmer, Brighton, BN1 9RH.
Applications should be received by midnight on the closing date.
----------------------------------------------------
From: Andrea Fürtjes <andrea.fuertjes@uni-muenster.de>
Date: July 21, 2014 8:50:08 AM
Subject: Post-docs: Cells-in-Motion Cluster of Excellence, U Münster
The Cells-in-Motion Cluster of Excellence (CiM) is offering Postdoctoral
Fellowships in any research area represented in CiM for the development
and implementation of individual research projects. The fellowship
covers a TV L 13-position for 2 years (extendable to a third year) plus
12.000 ? per year to cover consumables and travel costs. Research
projects should be developed together with the host laboratory; see
www.cells-in-motion.com for research areas and associated PIs.
Research fields relevant to the CiM-cluster include biophysical aspects
of cell dynamics, cell-cell and/or cell-matrix interactions, cell
migration and /or differentiation, mathematical modelling of biological
systems, protein and/or lipid biochemistry and biophysics, intracellular
dynamics, and high resolution optical and non-optical imaging to study
cell biology.
Excellent researchers with not more than 2 years postdoctoral experience
and a capacity for teamwork are invited to submit their CV, list of
publications and the completed application form to
cim.careers@uni-muenster.de by 30 September 2014. Only applications
using the template provided on our website (download here) will be
considered, each applicant can submit only one application. A letter of
support written by the head of the host CiM lab is mandatory. We
encourage interested researchers to contact their favored host labs as
soon as possible for detailed discussion of the research project.
The Cells-in-Motion Cluster of Excellence uniquely merges existing
excellence at the University of Münster in cell biology and molecular
imaging and integrates internationally visible interdisciplinary
networks between the medical, natural sciences and mathematical
faculties as well as the Max Planck Institute for Molecular Biomedicine.
The University of Münster is an equal opportunity employer and is
committed to increasing the proportion of women academics. Consequently,
we actively encourage applications by women. Female candidates with
equivalent qualifications and academic achievements will be preferably
considered within the framework of the legal possibilities. Disabled
candidates with equivalent qualifications will be given preference.
The University of Münster has been certified as a family-friendly
institution by the Hertie Foundation. The University is committed to
further the compatibility of work and family life.
The University of Münster offers a Dual Career Service. Information can
be obtained from http://www.uni-muenster.de/en/research/dualcareer.html.
For more information about the Cells-in-Motion Cluster of Excellence
please visit our website at www.cells-in-motion.com.
Contact: Careers in Motion Centre, Dr. Julia Meskauskas,
cim.careers@uni-muenster.de.
----------------------------------------------------
From: Natasha Kaleta Martin <Natasha.Martin@bristol.ac.uk>
Date: July 21, 2014 5:09:11 AM
Subject: Lecturer: Infectious Disease Modeller, U Bristol
LECTURER POSITION
SOCIAL AND COMMUNITY MEDICINE, UNIVERSITY OF BRISTOL
CLOSING DATE: 4 AUGUST 2014
This post offers an excellent opportunity for an experienced Lecturer
to join an expanding research team based in the School of Social and
Community Medicine. The post is for 48 months supported by a grant from
the National Institute of Health Research Health Protection Research
Unit (HPRU) on Evaluation of Interventions, and is intended to provide
an opportunity for the researcher to apply for additional funding and/or
a personal development research fellowship award and with the option of
becoming a permanent post. The post will undertake modelling on a number
of policy relevant projects in collaboration with Public Health England
(PHE). This will involve the development of infectious disease models on
the transmission of a range of diseases, including viral hepatitis
(Hepatitis C Virus (HCV) and Hepatitis B virus (HBV)), childhood
infections (such as Meningitis, Pertussis, and Rotavirus) and sexually
transmitted infections (such as Chlamydia and HIV), and the use of these
models to project the impact of various interventions including
treatment, vaccination and other prevention strategies depending on the
disease in question. The modeller will also work actively with
economists in the group to enable their models to account for the
economic costs and benefits of different interventions, and with other
researchers in Public Health England and in this and other HPRUs in
other institutions. As part of these projects you will be involved in
leading the technical aspect of the modelling, and will collaborate with
other modellers, economists and epidemiologists involved in this and
other projects. It is also hoped that the modeller will play a role in
supervising other modellers, and will start to develop their own
research direction and team. We are looking for an applicant with
experience in infectious disease mathematical modelling, hopefully with
experience of supervising other modellers and in undertaking economic
analyses. The post is full time (but with possibility of part-time) and
will be offered on a fixed term or open ended basis for a period of 4
years.
Details can be found here:
http://www.bris.ac.uk/jobs/find/details.html?nPostingID=2160&nPostingTargetID=7673&option=28&sort=DESC&respnr=1&ID=Q50FK026203F3VBQBV7V77V83&Resultsperpage=10&lg=UK&mask=uobext
For an informal discussion about the post, please contact
Professor Peter Vickerman: peter.vickerman@bristol.ac.uk
Professor Matthew Hickman: matthew.hickman@bristol.ac.uk
----------------------------------------------------
From: Lansdon, Rick <Rick.Lansdon@orau.org>
Date: July 17, 2014 2:28:34 PM
Subject: Lab Appt: Animal Virology, Plum Island Animal Disease Center
Animal Virology Research Support Appointment
United States Department of Agriculture
Orient Point, NY
Project Description:
The U.S. Department of Agriculture (USDA) Agricultural Research Service
(ARS) is seeking a motivated scientist (post-master's or
post-baccalaureate) interested in conducting animal virology laboratory
research aimed at developing novel strategies to control African swine
fever virus (ASFV). The position is with the Foreign Animal Disease
Research Unit at the Plum Island Animal Disease Center (PIADC) and is
offered through the PIADC Research Participation Program. The position
is available immediately and is funded for 1 year, with the opportunity
for renewal.
PIADC is the only U.S. laboratory facility performing research,
development and diagnosis of foreign animal diseases of highest threat
to the U.S. This critical national asset is located off the northeast
coast of Long Island, NY, and accessible by government-provided ferry
from Orient Point, NY, and Old Saybrook, CT. One of the missions of
PIADC is to develop technologies to help mitigate the risks of
catastrophic economic losses caused by foreign animal disease (FAD)
agents accidentally or deliberately introduced into the United States.
At PIADC, the scientist will perform laboratory tests to evaluate the
efficacy and potency of vaccine and antivirals against ASFV. The
scientist will prepare specimens and samples, operate standard
laboratory equipment, maintain tissue cultures, assist in animal
experiments, stay up-to-date regarding technical developments, conduct
literature searches on identified topics relevant to the research, and
follow and ensure adherence to strict safety procedures and safety
checks. Research will be performed in a Bio-Safety Level 3 containment
laboratory and animal facility.
Common methodologies employed will include virus isolation, propagation
and titration; preparation of vaccines; determination of serum antibody
titers using virus neutralization assays and/or ELISAs; evaluation of
vaccine potency and efficacy in swine; and use of several techniques of
recombinant DNA technology, real time PCR, protein expression in
bacteria and in tissue culture, light and fluorescence microscopy.
Additional Information:
Position is available to be filled immediately.
Other Qualifications:
Post Baccalaureate or Post Master's
How to Apply:
Information about the application process and application forms are
available on the program Web site: http://www.orau.gov/piadc
For Additional Information:
For additional information about the PIADC Research Participation
Program, please see http://www.orau.gov/piadc or email PIADC@orau.org.
----------------------------------------------------
From: Mayo, Michael L ERDC-EL-MS <Michael.L.Mayo@usace.army.mil>
Date: July 21, 2014 12:28:31 PM
Subject: R&D Position: Math Biol/Biophysics, US Army ERDC, Vicksburg, MS
Mathematical Biology / Theoretical Biology / Biophysics Theory
The US Army Engineer Research and Development Center (ERDC) has
initiated a multi-year program in systems and synthetic biology, which
includes development of mathematical models predictive of a wide variety
of biological endpoints, from chemical toxicity to dynamics of
biological signaling. While the broad focus of this program is to
minimize the negative impacts of human activities on the environment, a
need exists to further develop and validate mathematical models from
underlying and often abstract conceptual frameworks.
R&D opportunities are available for qualified candidates to pursue
funded work, in addition to pursuing new research funding within the
DOD, for modeling-related activities in areas such as: the fundamental
nature of communication across biological components in genetic and
molecular networks; bio-inspired wireless communication models;
hierarchical signaling networks of toxicological pathways in model
organisms; effects and impacts of military munitions on the environment.
Successful applicants will have obtained a PhD or all-but-dissertation
(ABD) status in a field indicative of analytical mathematical training,
such as physics, mathematics, chemical engineering, computer science,
bioinformatics, computational & quantum chemistry, etc. Applicants
should generally be able to solve complex analytical problems, which may
involve providing equations that approximate exact solutions while
quantifying associated error. The incumbent will work with an
experienced and diverse team of PhD-level scientists with expertise in
theoretical physics, bioinformatics, genetics, molecular biology, and
toxicology. Persons in these positions are expected to publish their
research in peer-reviewed journals, maintain and cultivate connections
to academia and industry as well as other government organizations, and
to write grants in pursuit of new funding. These opportunities are for
US citizens and foreign nationals, and will remain open until filled.
Salaries are expected to range from $42,000 to $100,000 USD, dependent
upon experience. To obtain more information, send or email a resume/CV
with a brief cover letter to explaining your R&D experience and
interests to: Dr. Michael Mayo (Michael.L.Mayo@usace.army.mil),
Environmental Laboratory, U.S. Army Engineer Research and Development
Center, 3909 Halls Ferry Rd, Vicksburg, MS, 39180. Applicants will be
evaluated by 30 September, 2014.
The Environmental Laboratory (EL) is one of seven DOD-funded
laboratories within the US Army Engineer Research and Development
Center, which is part of the US Army Corps of Engineers. The general
website for the Environmental Laboratory is
http://el.erdc.usace.army.mil/index.cfm. Successful applicants may join
the Environmental Genomics and Systems Biology (EGSB) team, which seeks
to better understand and predict the effects and impacts of chemical and
physical stressors on a broad spectrum of animal species at the
molecular and population level. EGSB team projects range from
experimental studies of toxicological outcomes of military munitions on
model animals to theoretical investigations of coupled dynamic
interactions in the gene-regulatory networks of Escherichia coli and
Saccharomyces cerevisiae. Related areas of research include the use of
gene expression data for biomarker development, stressor / toxicity
assessment and reverse engineering of biological networks impacted by
stressors. Our ultimate goal in this work is development of predictive
models that will inform if and why a stressor is harmful and what
magnitude of risk is posed. Further, understanding biological networks
and their control dynamics has inherent practical utility for
understanding how complex systems function, and for predicting the
fundamental behavior of complex engineered networks. All of these
efforts include a heavy component of bioinformatics, mathematical and
computational modeling, and systems biology approaches. As a result we
are searching for motivated people that can not only support these
existing efforts, but contribute innovative solutions that advance the
USACE and EL mission.
----------------------------------------------------
From: Henry Warchall <hwarchal@NSF.GOV>
Date: July 21, 2014 11:07:41 AM
Subject: NSF Update: Research Training Grants in the Mathematical...
The program solicitation "Research Training Groups in the Mathematical
Sciences" (RTG) has been updated. The revision emphasizes that funded
RTG projects will involve vertically-integrated training activities that
span all levels of research seniority, from undergraduate, through
doctoral, to postdoctoral.
The due date for proposals is October 14, 2014.
For more information, please see
http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5732
Program Synopsis: The long-range goal of the Research Training Groups in
the Mathematical Sciences (RTG) program is to strengthen the nation's
scientific competitiveness by increasing the number of well-prepared
U.S. citizens, nationals, and permanent residents who pursue careers in
the mathematical sciences. The RTG program supports efforts to improve
research training by involving undergraduate students, graduate
students, postdoctoral associates, and faculty members in structured
research groups centered on a common research theme. Research groups
supported by RTG must include vertically-integrated activities that span
the entire spectrum of educational levels from undergraduates through
postdoctoral associates.
----------------------------------------------------
From: Henry Warchall <hwarchal@NSF.GOV>
Date: July 17, 2014 5:08:44 PM
Subject: NSF Letter: Optics and Photonics
This document is available on-line:
http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf14091
----------------------------------------------------
Subject: SMBnet Reminders
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Items of interest to the mathematical biology community may be submitted
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The SMB Digest is also available on the SMB Home Page at
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End of SMB Digest
****************************************************