Subject: Society for Mathematical Biology Digest
SMB Digest February 25, 2015 Volume 15 Issue 8
ISSN 1086-6566
Editor: Wandi Ding ding.smb.digest(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:
Bulletin of Mathematical Biology, Vol. 77, Issue 2
NSF funding opportunity: BIGDATA
SIAM Conference on Applications of Dynamical Systems, May 17-21
Mathematical Biosciences and Engineering (MBE) vol. 12, no. 3
CfP: Special Issue of Molecular Based Mathematical Biology (MBMB)
PhD & Postdoc Positions: Bioinformatics, Graz U of Technology
Postdoc Position: Histology-based modeling.., Moffitt Cancer Center
Faculty Position: Lectuer/Senior Lecturer/Reader: U Glasgow
SMBnet Reminders
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From: Springer <
springer@alerts.springer.com>
Date: Tue, Feb 24, 2015 at 8:15 PM
Subject: Bulletin of Mathematical Biology, Vol. 77, Issue 2
Bulletin of Mathematical Biology, Volume 77 Number 2 is now available
online.
SPECIAL ISSUE: TOWARDS A QUANTITATIVE SCIENCE OF SUSTAINABILITY
http://link.springer.com/journal/11538/77/2?wt_mc=alerts.TOCjournals---------------------------------------------------------
From: Henry Warchall <
hwarchal@nsf.gov>
Date: Sat, Feb 21, 2015 at 3:56 PM
Subject: NSF funding opportunity: BIGDATA
An NSF funding opportunity update is now available:
Critical Techniques and Technologies for Advancing Foundations and
Applications of Big Data Science & Engineering (BIGDATA)
Full Proposal Deadline Date: May 20, 2015
Please see
http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504767for details and links to additional information.
From the program synopsis:
The BIGDATA program seeks novel approaches in computer science, statistics,
computational science, and mathematics, along with innovative applications
in domain science, including social and behavioral sciences, geosciences,
education, biology, the physical sciences, and engineering, that lead
towards the further development of the interdisciplinary field of data
science. The solicitation invites two types of proposals: "Foundations"(F):
those developing or studying fundamental theories, techniques,
methodologies, technologies of broad applicability to Big Data problems;
and "Innovative Applications"(IA): those developing techniques,
methodologies and technologies of key importance to a Big Data problem
directly impacting at least one specific application. [...]
In addition to approaches such as search, query processing, and analysis,
visualization techniques will also become critical across many stages of
big data use-to obtain an initial assessment of data as well as through
subsequent stages of scientific discovery. Research on visualization
techniques and models will be necessary for serving not only the experts,
who are collecting the data, but also those who are users of the data,
including "cross-over" scientists who may be working with big data and
analytics for the first time, and those using the data for teaching at the
undergraduate and graduate levels. The BIGDATA program seeks novel
approaches related to all of these areas of study.
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From: Kirsten Wilden <
Wilden@siam.org>
Date: Thu, Feb 19, 2015 at 6:57 AM
Subject: SIAM Conference on Applications of Dynamical Systems, May 17-21
Conference Name:
SIAM Conference on Applications of Dynamical Systems (DS15)
Location:
Snowbird Ski and Summer Resort, Snowbird, Utah, USA
Dates: May 17-21, 2015
Co-chairs:
Lora Billings, Montclair State University, USA
Panayotis Kevrekidis, University of Massachusetts Amherst, USA
Organizing Committee:
Chiara Daraio, ETH Zürich, Switzerland
Michelle Girvan, University of Maryland, USA
Jan Medlock, Oregon State University, USA
Igor Mezic, University of California, Santa Barbara, USA
Louis M. Pecora, US Naval Research Laboratory, USA
Anthony Roberts, University of Adelaide, Australia
Björn Sandstede, Brown University, USA
Mary Silber, Northwestern University, USA
Michael J. Ward, University of British Columbia, Canada
Invited Speakers:
Andrea Bertozzi, University of California, Los Angeles, USA
Bard Ermentrout, University of Pittsburgh, USA
Jeff Gore, Massachusetts Institute of Technology, USA
Hod Lipson, Cornell University, USA
Jeff Moehlis, University of California, Santa Barbara, USA
Adilson E. Motter, Northwestern University, USA
Andrew Stuart, University of Warwick, United Kingdom
Registration and the conference program are now posted at
http://www.siam.org/meetings/ds15/PRE-REGISTRATION DEADLINE
April 20, 2015: Disconnect time is 4:00 PM EDT
HOTEL RESERVATION DEADLINE
April 20, 2015
Twitter hashtag: #SIAMDS15
For additional information, contact the SIAM Conference Department at
meetings@siam.org.
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From: Liwei Ning <
editorial@aimsciences.org>
Date: Wed, Feb 18, 2015 at 11:41 AM
Subject: Mathematical Biosciences and Engineering (MBE) vol. 12, no. 3
New issue of Mathematical Biosciences and Engineering (MBE) is now online.
Volume: 12, Number: 3 June 2015
http://www.aimsciences.org/journals/contentsListnew.jsp?pubID=743-------------------------------------------------------------------
From: Zhao, Shan <
szhao@ua.edu>
Date: Fri, Feb 20, 2015 at 10:01 AM
Subject: CfP: Special Issue of Molecular Based Mathematical Biology (MBMB)
The journal Molecular Based Mathematical Biology (MBMB) will be editing a
special issue entitled "Ion Channels and membrane: modeling, analysis, and
computation". We cordially invite you to contribute a research article to
this special issue.
The purpose of this special issue is to create a medium for researchers
from mathematical and biological sciences and other related disciplines to
report novel mathematical models, computational algorithms, and theoretical
analysis for those problems arising from physiology and biology.
MBMB is a recently established journal, whose aim is to promote the
mathematical study of biological processes at the molecular scale.
Mathematical research findings which are related to other biomolecular
processes, such as biomolecular structures, function, dynamics and
transport, are also welcome. Original papers and high-quality review
articles on the aforementioned topics are solicited for this special issue.
Before submission authors should carefully read over the Author Guidelines,
which are located at
http://www.degruyter.com/view/j/mlbmb. All manuscripts
are subject to the standard peer review process before publication. Please
note the publisher has waived the Article Processing Charges for this
special issue, but articles will be open-access in accordance with the
overall goals of the journal. Prospective authors should submit their
manuscript online at
http://mlbmb.edmgr.com/.
We are looking forward to your submission. If you have any question, please
contact Dr. Chiun-Chang Lee at
chiunchang@gmail.com Important Dates
Manuscript Due: April 1, 2015
First Round of Reviews: May 15, 2015
Anticipated Publication Date: August 1, 2015
Guest editors: Chun Liu, Penn State University (lead); Tai-Chia Lin,
National Taiwan University; Chiun-Chang Lee, National Hsinchu University
of Education.
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From: Mario Albrecht <
mario.albrecht@tugraz.at>
Date: Thu, Feb 19, 2015 at 12:16 PM
Subject: PhD & Postdoc Positions: Bioinformatics, Graz U of Technology
Open PhD and Postdoc positions in Bioinformatics
Deadline: 28 February 2015
Contact: Prof. Dr. Mario Albrecht, Institute for Knowledge Discovery,
Graz University of Technology, Graz, Austria,
info@mario-albrecht.atFurther information at
http://www.medbioinf.at and below!
Note: Please send your application both to
info@mario-albrecht.atand
informatik@tugraz.at citing the reference number 7090/15/001.
Open full-time paid bioinformatics PhD student position for molecular
network research until 28 February 2015, for details see
http://wwww.medbioinf.at and as follows:
Molecular networks and proteins are involved in many biological
processes. Therefore, we aim at the development and application
of computational network methods for the analysis and prediction
of molecular interactions and their structural and functional
changes due to sequence mutations. The mutations might occur in
disease genes or bacterial and viral genomes. Based on the analysis
results, we also want to develop innovative bioinformatics approaches
for modeling pathways and their changes as well as for the design
and prioritization of follow-up experiments.
Open full-time paid bioinformatics postdoc position for integrative omics
research until 28 February 2015, for details see
http://bioinf.tugraz.at/images/Postdoc.pdf and as follows:
Cancer is the leading cause of death and involves altered lipid
metabolism. The rate-limiting enzyme in triacylglyceride degradation,
the adipose triglyceride lipase (ATGL), might not participate only in
lipid mobilization and degradation, but also in signaling pathways by
generating lipid signaling molecules. Therefore, we aim at the
large-scale elucidation of the functional role of ATGL in cancer
progression using different omics strategies combined with computational
approaches. Novel bioinformatics methods are developed for analyzing the
data of molecular proteomics and metabolomics networks related to
lipolysis in cancer.
--------------------------------------------------------------
From: Rejniak, Katarzyna, A. <
Kasia.Rejniak@moffit.org>
Date: Tue, Feb 24, 2015 at 1:42 PM
Subject: Postdoc Position: Histology-based modeling.., Moffitt Cancer Center
Post-doc position: Histology-based modeling of cancer treatment,
Integrated Mathematical Oncology, Moffitt Cancer Center, US
Applications are invited for a postdoctoral researcher position in our
computational lab with a focus on modeling tumor response to various
anticancer treatments integrated with biomedical imaging. The successful
candidate will work under the mentorship of Dr. Kasia Rejniak
(
http://labpages.moffitt.org/rejniakk) on interdisciplinary projects
conducted in collaboration with local experimentalists based at Moffitt
and/or USF. These projects will couple computational modeling based on
biophysical principles with extensive use of biomedical images (that
include fluorescent microscopy images and immunohistochemical pathology
images) for model calibration and validation. Success of these projects
will lead to a better understanding of how the tumor microenvironment
influences anticancer drugs and imaging agents penetration through the
tumor tissue, and how to predict patients response to anticancer therapies
based on tumor biopsies.
To be considered, a PhD in applied mathematics, scientific computing,
computer science or similar computational field is required. Priority will
be given to candidates with research experience in biology-based
computational modeling and a proven interest in using biomedical imaging
data for quantitative comparison with in-silico results. The ideal
candidate will have a history of demonstrated creativity, be highly
motivated to work as a team member within an interdisciplinary group of
researchers, have good communication skills and experience in writing
publications for peer-reviewed scientific journals. The candidate must
have strong programing skills (C/C++/Java/Fortran/Matlab) and ability to
visualize, analyze and compare numerical and experimental data.
The offered position is within the Integrated Mathematical Oncology (IMO)
Department of the Moffitt Cancer Center and Research Institute. IMO
integrates mathematicians, computer scientist, and physicists, together
with imaging specialists as well as clinical and experimental oncologists
to develop novel approaches for understanding, treatment and prevention
of cancer.
This position is offered for one year, and can be renewed for additional
years upon candidate performance.
Interested applicants should send an application letter, detailed CV with
recent publications, and a statement of research interests directly to
Kasia.Rejniak@moffitt.org. Please, include the names and email addresses
of three mentors who can provide recommendation letters.
--------------------------------------------------------------
From: Christina Cobbold <
christina.cobbold@glasgow.ac.uk>
Date: Thu, Feb 19, 2015 at 3:26 AM
Subject: Faculty Position: Lectuer/Senior Lecturer/Reader: U Glasgow
Lecturer/Senior Lecturer/Reader in Mathematical Biology/Ecology
University of Glasgow-College of Science and Engineering, School of
Mathematics & Statistics, Ref: 009926
Salary: £33,242-£37,394/£40,847-£47,328/£48,743-£54,841 per annum
The University of Glasgow, established in 1451, is a member of the UK's
Russell Group of leading universities. The University is committed to
enhancing its position as one of the world's great broad-based research-
intensive universities. As part of an exciting initiative to strengthen
the interdisciplinary research currently underway between the School of
Mathematics & Statistics and the life sciences institutes within the
University of Glasgow, the School of Mathematics and Statistics will make
a key appointment to a post in Mathematical Biology/Ecology.
It is expected that the postholder will pursue internationally leading
research in Mathematical Biology/Ecology which will contribute to this
exciting agenda.
The university has a vibrant Mathematical Biology community which includes
the University of Glasgow Boyd Orr Centre for Population and Ecosystem
Health (
http://www.gla.ac.uk/boydorr), a grouping of epidemiologists,
biologists, statisticians, veterinarians, physicists, ecologists and
mathematicians with a focus on applying quantitative approaches to
biological problems.
Informal enquiries may be directed to the Head of School:
Professor Adrian Bowman (0141 330 2975,
hos@maths-stats.gla.ac.uk)
Information about the School and all its research groups is available
from the School website at
http://www.gla.ac.uk/schools/mathematicsstatistics/Apply online through the apply online link below.
Closing date: 13th March 2015
The University is committed to equality of opportunity in employment.
The University of Glasgow, charity number SC004401.
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Subject: SMBnet Reminders
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End of SMB Digest
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