SMB Digest July 8, 2015 Volume 15 Issue 27
ISSN 1086-6566
Editor: Richard Schugart richard(dot)schugart(at)gmail(dot)com
Note:
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Issue's Topics:
Workshop: Hybrid Systems Biology, Sep 4-5, Madrid
Workshop Deadline Extension: BMTL, Oct 6-7, Naples
Conference: Supercritical Fluids, Mar 28-Apr 1, Viña del Mar
New BioCalculus Textbook: James Stewart and Troy Day
Post-doc: Evolutionary Dynamics in Cancer..., Moffitt, Tampa
NIH: Selected Intramural Research & Other Openings, July 2015
NIH: Research Reproducibility..., Important Grant Closeout...
NSF: Proposals for Quantitative Approaches to Biomedical Big...
SMBnet Reminders
----------------------------------------------------
From: Paolo Zuliani <paolo.zuliani@newcastle.ac.uk>
Date: July 6, 2015 at 6:49:00 AM
Subject: Workshop: Hybrid Systems Biology, Sep 4-5, Madrid
Call for Participation and Posters/Demos
HSB 2015: The 4th International Workshop on Hybrid Systems Biology
http://hsb2015.fi.muni.cz
4-5 September 2015, Madrid (Spain)
In conjunction with Madrid Meet 2015
Proceedings in Springer's LNCS
The 4th International Workshop on 'Hybrid Systems Biology' will be held
on September 4th and 5th in Madrid (ES), and co-located with the Madrid
Meet 2015 (http://mafalda.fdi.ucm.es/madrid2015/), which hosts also
CONCUR 2015, QEST 2015, FORMATS 2015, among other events. Previous
editions have been held in Newcastle upon Tyne (UK), Taormina (IT), and
Vienna (AT, at VSL 2014).
IMPORTANT DATES
Posters/Demos Submission: August 15, 2015
Paper Submission: June 15, 2015 (closed)
Paper Notification: July 15, 2015
Paper Final Submission: September 5, 2015
----------------------------------------------------
From: Bringing Maths to Life (Organizing Secretariat) <info@bmtl.it>
Date: July 7, 2015 at 9:20:25 AM
Subject: Workshop Deadline Extension: BMTL, Oct 6-7, Naples
Due to many received requests, the deadlines for Abstract Submission and
Early Bird Registration for 2nd edition of the Workshop Bringing Maths
to Life (BMTL) have been extended to 16th July 2015.
Please follow the instructions at these web links:
Abstract submission: http://www.bmtl.it/en/abstract-info.php?Preview=ok
Registration and Hotel booking:
https://secure.webol.info/bmtl/en/register-here.php
----------------------------------------------------
From: Dominique Richon <richon.dominique@gmail.com>
Date: July 4, 2015 at 9:55:20 AM
Subject: Conference: Supercritical Fluids, Mar 28-Apr 1, Viña del Mar
It is my pleasure to point out this international meeting:
http://www.prosciba2016.com
where your presence is fully encouraged to share your skills about Phase
Equilibria and especially those dealing with Supercritical Properties.
73 days are remaining for submitting abstracts.
----------------------------------------------------
From: Troy Day <troy.day@icloud.com>
Date: July 7, 2015 at 9:14:20 AM
Subject: New BioCalculus Textbook: James Stewart and Troy Day
Dear All,
As some of you might know, the mathematician James Stewart passed away
in December after struggling with cancer for a year. I had the privilege
of working with Jim during the past 4-5 years on a new BioCalculus
textbook, and I am pleased to say that this book is now available.
For those who might be interested, the book is available in two
different forms. More information can be found at the following website:
www.mast.queensu.ca/~tday/Stewart_pub.html
Perhaps of equal interest might be the extensive additional biological
material that we have posted on the book website. This material goes
into considerable depth with many real-world biological examples that
cover most of the concepts taught in introductory calculus, linear
algebra, probability, and statistics. It also includes 50 or so
downloadable data sets ranging from simple univariate examples to
high-dimensional data and visualization problems from genomics and
antigenic evolution in influenza. Although these materials are
elaborations and extensions of examples and exercises in our book, they
are freely available and might be of interest for use as stand alone
material. (Go to stewartcalculus.com , click of the appropriate book,
and look under "Biology Background").
Finally, I will be posting 2 detailed case studies in mathematical
biology in the next week or so: (1) Kill Curves and Antibiotic
Effectiveness, and (2) Hosts, Parasites, and Time Travel. These are
extensive, multipart, projects that bridge several different topics of
introductory calculus, and that I have used previously to motivate
material and to tie together various components of my course. (Go to
stewartcalculus.com , click of the appropriate book, and look under
"Case Studies"). I will be update this site to include more case studies
over the next few months as well.
best,
Troy
----------------------------------------------------
From: David Basanta <david@cancerevo.org>
Date: July 1, 2015 at 10:05:41 PM
Subject: Post-doc: Evolutionary Dynamics in Cancer..., Moffitt, Tampa
Our group is part of the Integrated Mathematical Oncology department at
the H. Lee Moffitt Cancer Center & Research institute in Tampa, FL. We
are looking for candidates for a postdoctoral position modeling the
evolutionary dynamics in cancer metastasis. The successful candidate
will have a doctorate in mathematics, physics, computer science or a
related discipline.
The aim of the project is to understand how the interactions between
metastatic tumor cells and normal bone cells shape the selection in bone
cancer. Given the nature of the work, we are looking for a candidate
able to work at the intersection between biology and mathematics.
Interpersonal skills and willingness to work closely with our
experimental partners will be key.
The successful candidate will attend lab meetings with our experimental
collaborator, the lab run by Dr. Conner Lynch, as well as meetings with
other mathematical modelers at IMO, they will present work at cancer
research and mathematical meetings and publish in cancer and
computational biology journals.
To apply, please complete send curriculum vitae and three (3) letters of
reference to: david [at] cancerEvo [dot] org
----------------------------------------------------
From: Owens, Roland (NIH/OD) [E] <owensrol@mail.nih.gov>
Date: July 2, 2015 at 10:33:36 AM
Re-Sent From: Raymond Mejía <mejiar@helix.nih.gov>
Subject: NIH: Selected Intramural Research & Other Openings, July 2015
Tenure-Track/Tenure-Eligible Investigator
Epidemiology and Biostatistics Program, NCI-DCEG
(Review of Applications Begins: July 1)
The National Cancer Institute (NCI), a major component of the NIH and
the Department of Health and Human Services, is recruiting a descriptive
epidemiologist for a tenure-track or tenure-eligible position available
in the Epidemiology and Biostatistics Program of the Division of Cancer
Epidemiology and Genetics (DCEG). Descriptive epidemiology is used in
its broad definition, including but not restricted to cancer
surveillance research, population-based cancer incidence and mortality
registry studies to test existing or generate new etiologic and survival
hypotheses, and leveraging data on molecular heterogeneity, gender,
ethnicity, age, secular trends and geography (including cancer mapping
and other geospatial studies). These would include studies within
relatively small geographic areas, countries, and internationally, and
would utilize the opportunities afforded by new technologies including
record-linkage studies that supplement aggregate-level data with
individual-level information. The scope could also encompass development
of novel biostatistical methods to supplement standard descriptive
techniques, particularly in the emerging opportunities in tumor
heterogeneity and application of new technologies. A candidate for this
position need not have experience in all aspects of descriptive
epidemiology, but should be familiar with them and be experienced in
several.
The mission of DCEG is to conduct broad-based, high quality, high impact
research to uncover the causes of cancer and the means of its
prevention. DCEG maintains a national and international perspective,
giving priority to emergent issues identified through epidemiologic,
clinical, and laboratory observations, as well as to public health
concerns identified by the NCI, Congress, regulatory agencies, and other
appropriate bodies. The Division develops research resources and
strategic partnerships in epidemiology and related disciplines across
NCI, NIH, and the global research community. The Division holds as its
top priority the training and development of the next generation of
scientists in cancer epidemiology and related fields.
Applicants must have a doctorate in epidemiology, medicine,
biostatistics or equivalent doctoral level qualifications, relevant
experience after the doctorate in chronic disease epidemiology including
significant experience in descriptive epidemiology, and excellent
computational skills. A strong record of high quality publications
demonstrating an ability to collaborate effectively and to lead
independent research is required. The candidates will be evaluated on
evidence of specific accomplishments; creativity and novelty of
scientific vision; sound analytic knowledge and skills; collaborative
teamwork, especially across disciplines; ability to work on multiple
projects simultaneously and complete projects in a timely fashion;
productivity; evidence of effective and efficient leadership of new
projects; and skill at effective oral and written scientific
communication. Applicants at the tenure-eligible level will be leading
experts in descriptive epidemiology. Experience working in studies with
molecular and genetic components would be advantageous.
Salary is commensurate with research experience and accomplishments, and
a full Civil Service package of benefits (including retirement, health
insurance, life insurance, and a Thrift Savings Plan) is available.
Interested individuals should send a complete application to Tricia C.
Wilkerson at wilkersont@mail.nih.gov. The application should include:
cover letter; curriculum vitae; summary of experience and research
accomplishments; statement of research interests; copies of up to five
publications or reprints; and three letters of reference, including at
least one reference from a collaborator in epidemiology. Reference
letters must be sent directly from the referee to the email address
listed above. Any questions can also be directed to the e-mail address
above. Review of applications will begin on or about July 1, 2015, but
applications will be accepted until the position is filled. More
information about this job announcement and about research programs in
the Division of Cancer Epidemiology and Genetics are available at http://dceg.cancer.gov/.
The NIH Intramural Research Program
http://irp.nih.gov/
http://irp.nih.gov/careers/tenured-and-tenure-track-scientific-careers
Link to Fellowships and Positions of Interest to fellows
https://www.training.nih.gov/
https://www.training.nih.gov/career_services/jobs
----------------------------------------------------
From: NIH Extramural Nexus (NIH/OD) <ExtramuralNexus@mail.nih.gov>
Date: July 2, 2015 at 7:19:41 AM
Re-Sent From: Raymond Mejía <digest.ray@gmail.com>
Subject: NIH: Research Reproducibility..., Important Grant Closeout...
For an NIH Update, including information on Research Reproducibility,
Rigor, and Transparency; Important Grant Closeout & Due Date Reminders;
and Your Role in Peer Review Integrity, see
https://list.nih.gov/cgi-bin/wa.exe?A2=ind1507&L=extramuralnexus&F=&S=&P=64
----------------------------------------------------
From: Henry Warchall <hwarchal@NSF.GOV>
Date: July 6, 2015 at 6:47:06 PM
Reply-To: dmsnews <DMSNEWS@LISTSERV.NSF.GOV>
Subject: NSF: Proposals for Quantitative Approaches to Biomedical Big...
Dear Colleagues:
The explosion in the availability of health- and disease-related data
from biological, biomedical, behavioral, social, environmental, and
clinical studies is creating new opportunities for collaborative
research. Innovative methodology for visualization, modeling, and
analysis of biomedical big data is imperative to address the challenges
posed by complex data structures such as images, networks, and graphs,
missing and sparse data, and complex dependence structures and
interaction effects.
One of the critical application areas at the interface of the biomedical
and data sciences is precision (or personalized) medicine. The goal of
precision medicine is to develop a targeted treatment (or prevention)
regimen that takes into account unique characteristics of an individual
such as genetic makeup, environmental factors, and lifestyle. Achieving
the goal of precision medicine will require combining data across
multiple formats and developing novel, sophisticated mathematical,
statistical, and computational methods that facilitate high-confidence
predictions for individuals.
These challenges will require inter- and cross-disciplinary teams that
include mathematicians, statisticians, and biomedical researchers and
engineers to develop models, methods, and approaches that can lead to
new insights and lay the groundwork for future advances in precision
medicine.
Through this Dear Colleague Letter (DCL), NSF's Division of Mathematical
Sciences (DMS), Directorate for Mathematical and Physical Sciences, aims
to foster inter- and multi-disciplinary, exploratory collaborations by
encouraging the submission of unsolicited proposals for small one-year
planning grants (typically less than $100,000 in total costs per grant).
We encourage collaborative proposals from new teams of researchers,
representing the quantitative / computational sciences and the
biomedical sciences, pursuing novel approaches to data challenges in
precision medicine. These collaborations, cutting across multiple
disciplines, have the potential to lead to new research directions and
contribute to the enhancement of the mathematical sciences
infrastructure.
Proposals should address how this new collaboration will address a
biomedical challenge and describe the use of large-scale publicly
available biomedical datasets to illustrate the proposed models and
methodology. Data science topics of interest in this context include,
but are not limited to, network analysis, causal analysis, and machine
learning.
The National Institutes of Health (NIH), through the Big Data to
Knowledge (BD2K) Initiative, will be participating in this effort and
plans to jointly sponsor these grants to plan new collaborations at the
intersection of the quantitative/computational and biomedical sciences.
The planning grants are intended to stimulate and facilitate
collaborations that may lead to the development of full submissions to
the funding agencies. Proposals submitted in response to this DCL will
be reviewed by the Division of Mathematical Sciences.
SUBMISSION PROCESS
Unsolicited proposals in response to this Dear Colleague Letter must
meet the requirements of NSF's Grant Proposal Guide and should be
submitted to the DMS Infrastructure Program by August 6, 2015. For
information about the DMS Infrastructure Program, please see
https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=12756&org=DMS
The project title should start with the identifier "QuBBD:" and total
budget requests for the one-year planning grants should not exceed
$100,000.
For more information or questions, please contact DMS Program Officer
Nandini Kannan at nakannan@nsf.gov or (703) 292-8104.
Sincerely,
Michael Vogelius
Division Director
Division of Mathematical Sciences
----------------------------------------------------
Subject: SMBnet Reminders
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