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Subject: Society for Mathematical Biology Digest
SMB Digest May 18, 2016 Volume 16 Issue 20
ISSN 1086-6566
Editor: Alex Fletcher digest.alex(at)gmail(dot)com
Note:
Send submissions to appear in this Digest to
SMBnet(at)smb(dot)org .
Note:
Information about the Society for Mathematical Biology, including an
application for membership, may be found in the SMB Home Page,
Access the Bulletin of Mathematical Biology, the official journal of SMB, at
Inquiries about membership or BMB fulfillment should be sent to
membership(at)smb(dot)org
Issue's Topics:
Announcement of 2016 Lee A. Segel Prize
Five good reasons to choose the Bulletin of Mathematical Biology
Letters in Biomathematics - reduced APC offer
Undergraduate Research Conference, Oct. 8-9, Knoxville, USA
Call for Papers: CIBB Special Session, Sept. 1-3, Stirling, UK
Postdoc: HIV Modeling, University of British Columbia, Canada
PhDs & Postdocs: Hepatic Cell Differentiation..., UCLouvain, Belgium
PhD Position: Modeling Global Change & Animal Movements, SLU, Sweden
PhD Position: Modelling of infectious diseases, UNSW, Australia
M2 Systems & Synthetic Biology, U Paris-Saclay & U. Evry, France
Quantitative Systems Pharmacologist / Modeler, Pfizer, USA
Science Policy News from AIBS
NSF funding opportunity: PREEVENTS
News from NIGMS: Council Meeting, Recent Blog Posts, Funding...
NIH News: Announcing New BD2K FOA for Predoctoral Training Programs
SMBnet Reminders
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Date: Tue, May 17, 2016 at 9:53 PM
Subject: Announcement of 2016 Lee A. Segel Prize
The Segel prize recognizes outstanding research in the field of mathematical
biology that has been published in the Bulletin of Mathematical Biology. The
prize was established in memory of Lee A. Segel, who made great contributions
to the Bulletin of Mathematical Biology and the field of mathematical biology
as a whole. It is awarded every two years under two categories: Best Paper
and Best Student Paper.
The Society for Mathematical Biology is pleased to announce the 2016 Segel
Prize Winners:
*Best Paper*
Alan J. McKane, Tommaso Biancalani and Tim Rogers. Stochastic pattern
formation and spontaneous polarisation: The linear noise approximation and
beyond. Bull Math Biol (2014) 76:895-921, DOI 10.1007/s11538-013-9827-4.
*Best Student Paper (shared prize)*
Jake P. Taylor-King, E. Emiel van Loon, Gabriel Rosser and S. Jon Chapman.
From birds to bacteria: Generalised velocity jump processes with resting
states, Bull Math Biol (2015) 77:1213-1236, DOI 10.1007/s11538-015-0083-7.
Hayley C. Warsinske, Shanna L. Ashley, Jennifer J. Linderman, Bethany B.
Moore and Denise E. Kirschner. Identifying mechanisms of homeostatic
signaling in fibroblast differentiation, Bull Math Biol (2015) 77:1556-1582,
DOI 10.1007/s11538-015-0096-2.
The winners will present their work on July 11th at the 2016 joint meeting
of the European Society for Mathematical and Theoretical Biology and the
Society for Mathematical Biology.
----------------------------------------------------
Date: Tue, May 17, 2016 at 9:47 PM
Subject: Five good reasons to choose the Bulletin of Mathematical Biology
natural home for your next great mathematical biology paper. Here are some
of the reasons why you should publish with us:
#1: The Bulletin is the first journal in mathematical and theoretical biology
Since its inception in 1939, the Bulletin of Mathematical Biology has been
regarded as the premier journal in mathematical and theoretical biology. It
brings together the most talented minds in the field of the mathematical
biology, and fosters a strong and passionate community in the Society for
Mathematical Biology. The Bulletin continues evolving with the field and
with our community, responding to new innovations and changing needs. We'll
continue to do so with your support!
#2: The Bulletin is led by your peers, colleagues and mentors
The Bulletin of Mathematical Biology was created by scientists for
scientists. Our editors and editorial board members are all active
researchers in the field: they are your peers, colleagues and mentors. They
care about the science and the people who have worked so hard on it.
#3: The Bulletin earns respect
The Bulletin of Mathematical Biology publishes influential papers in the
field. It is the mathematical and theoretical biology journal with the
largest number of Highly Cited Papers indexed at the Essential Science
Indicators of Institute for Scientific Information (Thomson Reuters). The
Institute for Scientific Information defines highly cited papers as those
which received enough citations to place them in the top 1% of its academic
field based on a highly cited threshold for the field and publication year.
#4: The Bulletin cares about your paper
The Bulletin editors know how much work has gone into every paper and we
treat each papers and its authors with respect. In the moment your paper is
submitted, we make a strong commitment to your research. We accept over 95%
of papers where a revision is invited. Our editors know it's a competitive
world!
#5: The Bulletin brings together the mathematical biology community
Both the Bulletin and the Society for Mathematical Biology believe in
creating new connections to help inspire and promote research in mathematical
and theoretical biology. By publishing in the Bulletin of Mathematical
Biology, you are supporting the Society for Mathematical Biology. We bring
together leading scientists and young researchers at our meetings focused on
important and emerging fields. The Society also has a strong international
presence through its support of meetings across the world in mathematical
and theoretical biology. We're proud to support mathematical biologists, and
inspire new research at the intersection of biology and mathematics!
----------------------------------------------------
Date: Mon, May 16, 2016 at 10:49 PM
Subject: Letters in Biomathematics - reduced APC offer
Taylor and Francis is offering all papers submitted to Letters in
Biomathematics before 31 July 50% off the APC - this is to coincide with the
Annual SMB meeting in Nottingham.
Taylor and Francis will print these off and disseminate then, as well as at
other conferences. They will also communicate this electronically as widely
as possible.
Last but not least, every accepted paper enters a competition to win a free
Cartoon Abstract (subject to appropriate terms of course).
----------------------------------------------------
Date: Tue, May 17, 2016 at 9:15 PM
Subject: Undergraduate Research Conference, Oct. 8-9, Knoxville, USA
Undergraduate Research Conference at the Interface of Mathematics and
Biology, Oct. 8-9, 2016
The National Institute for Mathematical and Biological Synthesis (NIMBioS)
will host the eighth annual Undergraduate Research Conference at the
Interface of Mathematics and Biology to be held Oct. 8-9, 2016, at the Univ.
of Tennessee Conference Center in Knoxville, TN. The conference provides
opportunities for undergraduates to present their research at the interface
of biology and mathematics. Student talks and posters will be featured as
well as a plenary speaker, a panel on career opportunities, a graduate school
showcase, and other networking opportunities. Faculty and students are
invited to attend, as well as middle and high school teachers. A limited
amount of support is available to cover the cost of registration and lodging
- deadline is August 20 to request funding. Conference registration deadline
is September 28.
If you have or plan to request funding, do not register for the conference
until you have been contacted by NIMBioS about the status of your funding
request. For more information, go to
----------------------------------------------------
Date: Tue, May 17, 2016 at 3:16 PM
Subject: Call for Papers: CIBB Special Session, Sept. 1-3, Stirling, UK
Special Session on Modeling and Simulation Methods for Systems Biology and
Systems Medicine, hosted by CIBB 2016
1-3 September 2016, Stirling, UK
Systems Biology deals with the analysis of natural systems at different
scales of complexity, requiring completely different modeling frameworks
and computational methods. Given that Systems Biology approaches are becoming
well established, the challenge is now to apply the developed techniques
towards the definition of personalized models in order to identify
individually tailored drugs and treatments; i.e. to realize the Personalized
Medicine paradigm. The scope of this special session is to bring together
researchers involved in the development of methods applied to the fields of
Systems Biology and Systems Medicine.
Topics of interest include, but are not limited to:
* analysis of robustness of cellular networks
* biomedical model parameterization
* cancer progression models
* clinical image analysis
* emergent properties in complex biological systems
* flux balance analysis
* metabolic engineering
* metabolic pathway analysis
* model verification and refinement methods
* models of neural activity
* multiscale modelling and simulation of biological systems
* parameter estimation methods
* personalized models
* reverse engineering of reaction networks
* software tools for systems biology
* spatiotemporal modelling and simulation of biological systems
Important dates:
Paper submission deadline: 29th May 2016
Acceptance notification: 22nd June 2016
Camera ready due: 8th July 2016
Authors registration due: 8th July 2016
Conference: 1st - 3rd September 2016
Organizers:
Paolo Cazzaniga, University of Bergamo, Italy
Marco S. Nobile, University of Milano-Bicocca, Italy
Chiara Damiani, University of Milano-Bicocca, Italy
Riccardo Colombo, University of Milano-Bicocca, Italy
Giancarlo Mauri, University of Milano-Bicocca, Italy
Submission guidelines:
Prospective authors should submit papers prepared according to the following
instructions:
Papers should be submitted in PDF format (this is the only accepted format)
Papers length should be at least 4 pages and should not exceed 6 pages
We warmly recommend the use of the provided latex template and instructions.
Should this not be possible, authors should reproduce the format and style
of the sample paper available with the latex style. Papers should adhere, as
much as appropriate, to the following structure and sections:
1. Scientific background
2. Materials and methods
3. Results
4. Conclusions
5. References
----------------------------------------------------
Date: Wed, May 11, 2016 at 6:04 PM
Subject: Postdoc: HIV Modeling, University of British Columbia, Canada
We are seeking a postdoctoral fellow to work on detailed modelling of HIV
spread among gay, bisexual and other men who have sex with men (MSM) in
Canada. The primary objective for our modelling research is to examine the
real and potential impact of an innovative internet-based testing program
for MSM, establishing a foundation which can then be extended by the postdoc
in this position to a range of other testing and prevention interventions
for this population. This postdoc position offers an excellent opportunity
to gain experience in the translation of model results into real world
public health policies and practice.
The successful candidate will join a public health modelling team headed by
Dr. Mark Gilbert (BC Centre for Disease Control, University of British
Columbia (UBC), Ontario HIV Treatment Network) and Dr. Daniel Coombs
(Department of Mathematics, UBC), working with provincial, national and
international collaborators. The position will be based in Vancouver,
working alongside the research team as well as public health staff,
community agencies, and policy-makers involved with the implementation of
these interventions.
The ideal candidate will have the following skills:
(A) excellent interpersonal skills, being able to communicate effectively
with a wide range of stakeholders, including public health professionals,
health care economists, and staff working in community-based organizations
in the area of HIV prevention for MSM;
(B) be a creative modeller, and able to compute from very simple ODEs to
fairly complex simulation/network models;
(C) be able to work independently to assimilate data from epidemiologic and
sociological studies into the model framework (as well as primary analysis
of data from cohorts of HIV negative and positive men in Vancouver and a
large online survey of MSM across Canada);
(D) be familiar with epidemic (or similar) modelling, analysis and
computation, including stochastic models.
Prior experience working on public health modelling projects is an asset.
This is primarily a research position but there may be opportunities to
gain teaching experience, depending on the candidate. Competitive salary and
benefits. This is a two-year position.
For additional information or enquiries please contact Mark Gilbert
(with CV, research statement and names of two references) should be sent to
----------------------------------------------------
Date: Thu, May 12, 2016 at 8:39 AM
Subject: PhDs & Postdocs: Hepatic Cell Differentiation..., UCLouvain, Belgium
Experts in development and cancer biology are teaming up with modellers to
build a network of experimentalists and theoretically-oriented scientists at
UCLouvain and de Duve Institute (Louvain-la-Neuve and Brussels, Belgium). The
goal of the network is to unravel fundamental mechanisms of organ development
and growth by combining mathematical modelling with experimental approaches
in cell, molecular and mouse transgenic technology.
Our specific goals are to identify and predict the dynamics of signalling
pathways and transcriptional networks which drive thyroid and pancreas
morphogenesis, and which regulate hepatic cell differentiation and liver
cancer development. We are seeking PhD students and post-doctoral fellows
who will develop mathematical models, in collaboration with experimentalists.
We offer the opportunity to interact with experts in experimental biology
and applied mathematics, and to acquire transversal skills via participation
to national and international workshops.
The research will be performed in the laboratories of Emmanuel Hanert
PhD candidates must hold a Master degree in mathematics, (bio-)engineering,
physics or in an equivalent quantitative discipline. Post-doctoral candidates
must have a strong track record of conducting interdisciplinary research in
computational biology. They must have published the results of his/her PhD in
international peer-reviewed journals. Candidates are expected to be fluent in
English, written and spoken. They should not have resided or have carried out
their main activity (work, studies, etc.) in Belgium for more than 12 months
in the 3 years immediately prior to the start of the fellowship.
Interested candidates should send their CV, a motivation letter and the names
----------------------------------------------------
Date: Tue, May 17, 2016 at 8:03 AM
Subject: PhD Position: Modeling Global Change & Animal Movements, SLU, Sweden
Global change and animal movements - Towards a socio-ecological predictive
framework
*Project Background*
Global change encompasses environmental, social, economic and demographic
changes on planet earth. Animals are an important component of the natural
world due to their crucial ecological, social, and economic role in
ecosystems. Global changes driven by resource extraction, energy and
infrastructure development, climate change and urbanization are dramatically
affecting animal populations and their movements resulting in challenges for
management, driving human wildlife conflicts as well as hindering the
sustainable development and use of natural resources. In such transformed
landscapes, the vital questions are, 'how', 'where', 'when' and 'why' do
animals move and how do these altered movements transform the landscapes as
well as human societies (ecologically, socially and economically) that depend
upon these animals? Moreover, how can we better predict animal movements
under 'multiuse-landscape' and 'climate change' scenarios? Using case studies
of two large mammal species (reindeer and moose) that are ecologically,
socially and economically important in the northern/arctic ecosystem, the
project aims to answer these questions. The goal is to develop a
socio-ecological movement modelling approach that goes beyond correlative or
species distribution models and provides a predictive tool that can be used
in developing diverse future land use scenarios, developed with and for
community users and geared toward adaptation strategies in a changing world.
*Qualifications*
This NORDFORSK funded project seeks a candidate with a strong quantitative
and modelling background in ecology, advanced skills in statistics and data
analyses are almost essential as vast amount of data is already collected. A
master degree in quantitative ecology or biology is desirable, or otherwise,
those with a master in general ecology or biology may also apply and
demonstrate their quantitative abilities. The candidate should be able to
work in a multicultural and multidisciplinary environment, and have a good
level of autonomy and creativity. A good knowledge of spoken English and
writing skills are essential. Knowledge of Swedish and/or Sami is a plus. The
expected start of the position is 1st October 2016. The place of work will
be the Department of Wildlife, Fish and Environmental Studies at the Swedish
University of Agricultural Sciences, Umeå, with occasional trips to the field
site in northern Sweden.
Use this APPLICATION FORM:
Further information:
Applications, marked with ref no SLU ua 1265/2016, must have arrived at the
later than 2016-08-31.
----------------------------------------------------
Date: Wed, May 18, 2016 at 12:18 PM
Subject: PhD Position: Modelling of infectious diseases, UNSW, Australia
Applying mathematical models to estimate the impact and cost-effectiveness
of vaccination programs
We have a potential PhD research project in the area of infectious disease
modelling, which will allow a candidate to develop and apply statistical,
economic and mathematical modelling approaches. These skills are becoming
increasing sought after in healthcare, both within academia and industry,
and should help to build a strong foundation for a future career. The PhD
candidate will have opportunities to work with leading experts at UNSW and
with collaborators internationally. It will also present an excellent
opportunity for an independent and self-motivated person to submit a number
of peer-reviewed publications.
Mathematical modelling is an important tool to estimate the impact of
vaccination programs before they are implemented. These models can be used
to predict future changes in disease both in those vaccinated and in the
wider population via herd protection. The projections of program impact can
then be used in cost-effectiveness models to assess the value for money that
vaccination strategies offer in comparison to other potential health spending
options. Estimates of cost-effectiveness are becoming a vital part of
decision making process for many governments when considering the funding of
new pharmaceutical interventions.
UNSW Australia (The University of New South Wales) is one of Australia's
leading research universities and is ranked in the top 50 universities
internationally by the QS World University Rankings (2015). Based in Sydney,
the infectious disease group at The School of Public Health and Community
Medicine are a multidisciplinary research team that includes mathematicians,
health economists, epidemiologists, clinicians and policy experts. We have
extensive expertise in the evaluation of vaccine preventable diseases and
have research collaborations with key international institutions such as the
World Health Organization (WHO) and the US Centers for Disease Control (CDC).
Applicant
We seek an outstanding prospective PhD candidate with strong applied
mathematics skills and a keen interest in applying these to important
scientific and policy questions. Potential candidates should have a first
class Honours degree or Masters degree with a high distinction average.
Prior study can be from a variety disciplines, including mathematics,
statistics, economics, computer science, engineering, physics, medical
science, etc. It is not essential that the applicant have experience in the
specific research area as our team has specialists who can offer training to
candidates with applied mathematics skills as part of the PhD research.
The supervisors will support the selected prospective candidate to apply for
competitive PhD scholarship via UNSW, with options for domestic or
international students. Those meeting the initial criteria who wish to
with a CV and copies of academic transcripts for all degrees.
----------------------------------------------------
Date: Thu, May 12, 2016 at 4:19 PM
Subject: M2 Systems & Synthetic Biology, U Paris-Saclay & U. Evry, France
Dear colleagues,
Applications for the Master 2 in Systems & Synthetic Biology (mSSB) -
proposed by the University of Evry-Val-d'Essonne and the University
Paris-Saclay - are open until 15 July, 2016 on the website of U. Paris
Saclay.
This Master 2 is highly trans-disciplinary; Applicants may come from
Universities or from Engineering schools after a first year of master (M1),
or an equivalent qualification, in Life Sciences, Computer Sciences,
Mathematics, Engineering, Chemistry and Physical Sciences. So we would
appreciate your help in transmitting these informations to potentially
interested students.
Following this Master, several PhD programs are possible on site. Research
trainings are also proposed in Europe (England, Germany, Switzerland, Spain,
...) and in the US.
----------------------------------------------------
Date: Wed, May 11, 2016 at 8:57 PM
Subject: Quantitative Systems Pharmacologist / Modeler, Pfizer, USA
Job Title:
Quantitative Systems Pharmacologist / Modeler Job ID 1031636
About Pfizer:
A career at Pfizer offers opportunity, ownership and impact. All over the
world, Pfizer colleagues work together to positively impact health for
everyone, everywhere. Our colleagues have the opportunity to grow and develop
a career that offers both individual and company success; be part of an
ownership culture that values diversity and where all colleagues are
energized and engaged; and the ability to impact the health and lives of
millions of people. Pfizer, a global leader in the biopharmaceutical
industry, is continuously seeking top talent who are inspired by our purpose
to innovate to bring therapies to patients that significantly improve their
lives.
Role Description:
The Quantitative Systems Pharmacology (QSP) Lab in Pfizer?s Cardiovascular
and Metabolic Diseases (CVMet) Research Unit is responsible for identifying
and evaluating promising therapeutic targets and drug candidates through the
application of systems modeling and simulation approaches. We seek a highly
motivated candidate with experience in cardiomyocyte/cardiac function to lead
the development of mechanistic, mathematical models to enable the in silico
testing of novel targets and compounds for the treatment of heart failure
(HF). The successful applicant will be responsible for providing QSP support
to CVMet programs from target ideation through Phase 2 clinical development.
Responsibilities:
* Develop and execute strategy for the application of QSP approaches to
identify and evaluate novel pathways, targets and drug candidates for the
treatment of HF
* Work in close collaboration with CVMet biologists and clinicians to
advance our HF programs and improve our understanding of disease mechanisms
* Serve as QSP modeling & simulation expert in multidisciplinary project
teams to solve challenging problems in drug discovery and development;
contribute to preclinical and clinical study design
* Develop and/or utilize state-of-the-art mathematical and statistical tools
to gain insight into causal relationships between individual components
within metabolic pathways and systems
* Analyze and interpret complex data sets in the context of disease
mechanisms and pathways; develop a deep disease knowledgebase
Qualifications:
* Ph.D. in Applied Mathematics, Engineering, Physics or a related discipline
with strong numerical components focusing on modeling and simulation in
the area of cardiomyocyte/cardiac function and 5+ years of experience in
applying quantitative systems pharmacology approaches in drug discovery
and development.
* Deep understanding of theory, principles, and statistical aspects of
mathematical modeling and simulation, including numerical methods,
parameter estimation/optimization, ordinary differential equations (ODEs),
and how these can be applied in the development of complex models of
biological pathways and systems
* Extensive, hands-on experience with modeling and simulation software
(e.g., MATLAB, SimBiology, C/C++)
* Self-directed, independent researcher who excels in a collaborative,
multi-disciplinary environment
* Excellent communication and writing skills
* Primary authorship on relevant publications in peer-reviewed scientific
journals
----------------------------------------------------
Date: Mon, 16 May 2016 18:00:03 +0000
Subject: Science Policy News from AIBS
AIBS Public Policy Report, Volume 17, Issue 10, May 16, 2016
* Senate Committee Takes Up COMPETES
* Vote Expected on Zika Funding
* New Initiative Launched to Better Understand Microbiomes
* NSF Unveils Big Plans For Future Research
* Nominations Sought for Collections Research Uses Working Group
* National Science Board Reports Public Benefits of Higher Education
* Applications Sought to Host Regional Climate Science Centers
* America?s New National Mammal
* From the Federal Register
* Become an Advocate for Science: Join the AIBS Legislative Action Center
See
----------------------------------------------------
Date: Tue, May 17, 2016 at 12:31 AM
Subject: NSF funding opportunity: PREEVENTS
Dear Colleagues,
A new NSF program solicitation (NSF 16-562) is now available:
Prediction of and Resilience against Extreme Events (PREEVENTS)
Please see the program solicitation
for details.
Due Date for Letters of Intent (required): July 29, 2016
Due Date for Full Proposals: September 19, 2016
Submission Window for Conference Proposals: On or after August 1, 2016
From the program synopsis:
NSF and the Directorate for Geosciences (GEO) have long supported basic
research in scientific and engineering disciplines necessary to understand
natural hazards and extreme events, including through the Interdisciplinary
Research in Hazards and Disasters (Hazards SEES) program and multiple core
programs in the GEO Directorate. PREEVENTS is designed as a logical successor
to Hazards SEES and is one element of the NSF-wide Risk and Resilience
activity, which has the overarching goal of improving predictability and
risk assessment, and increasing resilience, in order to reduce the impact of
extreme events on our life, society, and economy. PREEVENTS will provide an
additional mechanism to support research and related activities that will
improve our understanding of the fundamental processes underlying natural
hazards and extreme events in the geosciences.
PREEVENTS is focused on natural hazards and extreme events, and not on
technological or deliberately human-caused hazards. The PREEVENTS portfolio
will include the potential for disciplinary and multidisciplinary research
at all scales, particularly aimed at areas ripe for significant near- or
medium-term advances.
PREEVENTS seeks projects that will:
(1) enhance understanding of the fundamental processes underlying natural
hazards and extreme events on various spatial and temporal scales, as well
as the variability inherent in such hazards and events, and;
(2) improve our capability to model and forecast such hazards and events.
----------------------------------------------------
Date: Fri, May 13, 2016 at 10:56 AM
Subject: News from NIGMS: Council Meeting, Recent Blog Posts, Funding...
Contents
--Advisory Council Meeting
--Recent NIGMS Feedback Loop Blog Posts
--Funding Opportunities
See
----------------------------------------------------
Date: Thu, 12 May 2016 17:56:45 -0400
Subject: NIH News: Announcing New BD2K FOA for Predoctoral Training Programs
**ANNOUNCEMENT: NEW BD2K FOA FOR PREDOCTORAL TRAINING PROGRAMS**
The NIH Big Data to Knowledge initiative (BD2K,
for training in biomedical big data science:
1) RFA-LM-16-002: BD2K Predoctoral Training in Biomedical Big Data Science
(T32)
2) RFA-ES-16-002: BD2K Mentored Career Development Award in Biomedical Big
Data Science (K01)
3) RFA-ES-16-003: BD2K Mentored Career Development Award in Biomedical Big
Data Science for Intramural Investigators (K22)
All of these opportunities aim to train more researchers who will use
Big Data technologies, methods, and tools. Training is expected across
three major scientific areas: (1) computer science or informatics, (2)
statistics and mathematics, and (3) biomedical science. In addition,
the awardee/trainee will acquire depth in areas of specialty necessary for
developing new methods, technologies, or tools.
The receipt deadline for applications is August 1, 2016 for K awards or
July 25, 2016 for T awards.
BD2K is a trans-NIH initiative that aims to support advances in data science,
other quantitative sciences, policy, and training that are needed for the
effective use of big data in biomedical research. Interested applicants are
encouraged to join the BD2K listserv
the most up-to- date information about BD2K events and funding opportunities.
Please share this opportunity with your interested scientific communities.
If you have questions, please contact the BD2K Training Team at
----------------------------------------------------
Subject: SMBnet Reminders
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End of SMB Digest
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