SMB Digest August 26, 2014 Volume 14 Issue 35
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: Leading Students & Faculty..., Jan 3-7, Florida, US
Keystone Symposia: 2015 Cancer Meetings
Keystone Symposia: 2015 Neurobiology Conferences
ToC: BMB, Volume 76, Issue 7
Post-doc: Neglected Tropical Disease Modeling, U Notre Dame
Lectureship: Mathematical Biology, U Stirling
SMBnet Reminders
----------------------------------------------------
From: Cecilia Diniz Behn <cdinizbe@mines.edu>
Date: August 22, 2014 3:25:05 PM
Subject: Workshop: Leading Students & Faculty..., Jan 3-7, Florida, US
The workshop Leading Students and Faculty to Quantitative Biology
Through Active Learning will take place at the 2015 Annual Meeting of
the Society for Integrative and Comparative Biology. The meeting will be
held January 3-7, 2015 in West Palm Beach, FL. The main symposium will
be on Tuesday, January 6th and will feature talks describing examples of
active learning in a range of quantitative biology topics. We are
planning an associated interactive workshop for Monday, January 5th. The
workshop will include demonstration tables highlighting demonstrations
of labs and in-class activities with handouts and/or links to lesson and
lab materials.
Please consider submitting an abstract for a poster or presentation to a
conference session complementary to the main symposium at the following
website by Wednesday, September 3:
http://www.sicb.org/meetings/2015/abstracts/index.php and select our
symposium from the dropdown menu of Complementing Sessions. From this
list select Leading Students and Faculty to Quantitative Biology Through
Active Learning.
Please consider submitting an abstract (maximum 2000 characters)
describing a lesson plan or lab that highlights quantitative biology
and/or active learning to be presented at a demonstration table during
the interactive workshop. Demonstration tables should include handouts
and/or links to lesson and lab materials. Abstracts for demonstration
tables ONLY should be submitted to workshop organizers Emily Braley
(braley@math.duke.edu) or Cecilia Diniz Behn (cdinizbe@mines.edu) by
Friday, October 3.
The West Palm Beach Marriott is the Meeting Hotel. The group rate is
$130/night. Click here for group rate hotel reservations. You may also
check the symposium website and the meeting website for the most
current information about travel and accommodations:
http://www.sicb.org/meetings/2015/
http://teachmathbio.web.unc.edu/
Presentations complementary to the symposium
Oral presentations will be 15 minutes. Poster presentations will be held
from 3:30 - 5:30 pm each evening. We encourage you to think creatively
about these presentations and incorporate active learning and
engagement!
List of Symposium Speakers
Laura Miller, Associate Professor of Mathematics and Biology, UNC Chapel
Hill. Introduction to the symposium, and ?Inquiry-based learning using
real and numerical flow tanks.?
Brynja Kohler, Associate Professor of Mathematics, Utah State
University. Algae Growth and Climate Change - A Laboratory Experience
in Mathematical Modeling and Associated Assessment Items.
Robert Full, Chancellor's Professor of Integrative Biology, UC Berkeley.
Discovery-based Teaching Laboratories: Integrating Teaching and
Research.
Blerta Shtylla, Assistant Professor of Mathematics, Pomona College.
Interdisciplinary team approaches to mathematical modeling in a liberal
arts setting.
Fred Adler, Professor of Mathematics, U Utah. Using simple models to
motivate mathematics and understand cancer: Making the classroom into a
workshop for collective model development.
Rachel Pepper, Miller Postdoctoral fellow, UC Berkeley. Applying the
results of education research to help students learn more.
Lou Gross, James R. Cox and Alvin and Sally Beaman Distinguished
Professor of Ecology and Evolutionary Biology and Mathematics, Preparing
"Fearless" Biologists: Quantitative components for undergraduate
Nina Fefferman, Associate Professor Ecology, Evolution, and Natural
Resources, Rutgers University. The Definition of Communication: one way
biology and math people accidentally talk past each other and what we
might be able to do to fix it.
Steve Adolph, Stuart Mudd Professor of Biology, Harvey Mudd College.
Transforming classical models and original research into active learning
activities in mathematical biology.
Lindsay Waldrop, Postdoctoral Fellow, UNC Chapel Hill. Transforming
traditional lessons into active-learning exercises through case studies.
Joshua Drew, Professor, Ecology, Evolution and Environmental Biology,
Columbia University. Using technology to expand the classroom in time
and space.
Workshop organizers and panelists
Emily Braley, Assistant Professor of the Practice, Mathematics, Duke
University
Cecilia Diniz Behn, Assistant Professor, Applied Mathematics &
Statistics, Colorado School of Mines
----------------------------------------------------
From: keystonesymposia <keystonesymposia@keystonesymposia.org>
Date: August 21, 2014 12:32:30 PM
Subject: Keystone Symposia: 2015 Cancer Meetings
For information about the conferences, go to
http://www.keystonesymposia.org/index.cfm?e=Web.Meeting.List&tab3#Cat2
----------------------------------------------------
From: keystonesymposia <keystonesymposia@keystonesymposia.org>
Date: August 24, 2014 6:15:38 PM
Subject: Keystone Symposia: 2015 Neurobiology Conferences
For information about the conferences, go to
http://www.keystonesymposia.org/index.cfm?e=Web.Meeting.List&tab3#Cat14
----------------------------------------------------
From: Springer <springer@alerts.springer.com>
Date: August 21, 2014 8:48:24 AM
Subject: ToC: BMB, Volume 76, Issue 7
Volume 76 Number 7 is now available on SpringerLink
http://alerts.springer.com/re?l=D0In5s9rkI6h54ld2I0
IN THIS ISSUE:
A Computational Study of Alternate SELEX
Yeon-Jung Seo, Marit Nilsen-Hamilton & Howard A. Levine
Seasonal Invasion Dynamics in a Spatially Heterogeneous River with
Fluctuating Flows
Yu Jin, Frank M. Hilker, Peter M. Steffler & Mark A. Lewis
Optimal Tuberculosis Prevention and Control Strategy from a Mathematical
Model Based on Real Data
Sunhwa Choi & Eunok Jung
Stochastic Modelling of Chromosomal Segregation: Errors Can Introduce
Correction
Anastasios Matzavinos, Blerta Shtylla, Zachary Voller, Sijia Liu
& Mark A. J. Chaplain
Malaria Drug Resistance: The Impact of Human Movement and Spatial
Heterogeneity
F. B. Agusto
Mathematical Model of Stem Cell Differentiation and Tissue Regeneration
with Stochastic Noise
Przemys?aw Rafa? Pa?dziorek
Analysis of Risk-Structured Vaccination Model for the Dynamics of
Oncogenic and Warts-Causing HPV Types
Aliya A. Alsaleh & Abba B. Gumel
Individual-Based Model for Quorum Sensing with Background Flow
Hannes Uecke, Johannes Müller & Burkhard A. Hense
Landscape Diversity Influences Dispersal and Establishment of Pest with
Complex Nutritional Ecology
Claudia P. Ferreira, Lourdes Esteva, Wesley A. C. Godoy
& Fernando L. Cônsoli
A Multicompartment Mathematical Model of Cancer Stem Cell-Driven Tumor
Growth Dynamics
Suzanne L. Weekes, Brian Barker, Sarah Bober, Karina Cisneros, Justina
Cline, Amanda Thompson, Lynn Hlatky, Philip Hahnfeldt & Heiko Enderling
Multiple Surface Reactions in Arrays with Applications to Optical
Biosensors
Matthew E. Zumbrum & David A. Edwards
Modeling and Analysis of a Density-Dependent Stochastic Integral
Projection Model for a Disturbance Specialist Plant and Its Seed Bank
Eric Alan Eager, Richard Rebarber & Brigitte Tenhumberg
----------------------------------------------------
From: Brajendra Kumar Singh <brajendra.singh@nd.edu>
Date: August 21, 2014 8:48:24 AM
Subject: Post-doc: Neglected Tropical Disease Modeling, U Notre Dame
POST-DOCTORAL FELLOW POSITION in Neglected Tropical Disease modeling
An exciting opportunity has arisen to join the Global Epidemiology and
Biostatistics Group led by Prof. Edwin Michael at the University of
Notre Dame in the Department of Biological Sciences and the Eck
Institute for Global Health, to model the global elimination of the
vector-borne disease, lymphatic filariasis (LF), in partnership with The
Task Force for Global Health, Inc, (TFGH), Georgia, USA.
The successful candidate for the modeling position must be proficient in
mathematical model construction and analysis and interested in the
application of these methods to modeling the elimination of the complex
mosquito-borne macroparasitic disease, LF, against which a global
elimination program using mass drug administration (MDA) is in progress.
The candidate will join us in executing a new project funded by TFGH in
order to apply and extend our current modeling work using a multi-vector
LF model in conjunction with sentinel site data from endemic regions in
order to predict the prospects of LF elimination given observed MDA and
vector coverage, and post MDA infection data. The aim of the project is
to use the modeling results to identify areas where the MDA program is
working as expected and where it is not, including making predictions of
remedial measures required to address any identified deficiencies. This
is a time bound project and so the successful candidate must be able to
work to tight deadlines as well as have mathematical and programming
skills to quickly understand, modify/extend and run existing or new
models. Experience with data-model assimilation (DA) methods will be
important as a key focus of the work is to apply models to sentinel data
obtained from partners or sources across the world in order to gain a
better understanding of site-specific LF control/extinction dynamics for
delivery of appropriate results at both local and global settings to
TFGH and other interested parties. The candidate will also work with our
computation/software development partners, The Center for Research
Computing, Notre Dame, to implement a user friendly front end to our
DA-based modeling framework. Programming skills in Matlab and C are
essential, and skills in R and parallel computing are an advantage.
The successful candidates for the position should:
1) Have completed a PhD or equivalent degree
2) Have demonstrated ability to work independently under supervision, as
well as within a team environment with a strong commitment to team-based
processes and outcomes
3) Have strong time management skills
4) Be willing to travel nationally and internationally
5) Have strong written and oral communication skills, including the
ability to publish research results and make scientific presentations
6) Be expected to contribute to and collaborate with faculty and
students within the Departments of Biological Sciences, Applied and
Computational Mathematics and Statistics, Computer Science and
Engineering, and the Center for Research Computing
Location: Notre Dame, Indiana, USA
Tenure: The position is available immediately and has funding available
for 1 year in the first instance, with the possibility of extension for
2 additional years.
Salary: Based on NIH guidelines for postdoctoral fellow salaries
ABOUT THE UNIVERSITY OF NOTRE DAME: The University of Notre Dame is
committed to diversity (http://diversity.nd.edu/) in its staff, faculty,
and student body. As such, we strongly encourage applications from
members of minority groups, women, veterans, individuals with
disabilities, and others who will enhance our community. The University
of Notre Dame, an international Catholic research university, is an
equal opportunity/affirmative action employer. Information on the Eck
Institute for Global Health may be found at http://globalhealth.nd.edu
APPLICATION PROCESS: Qualified individuals should send in PDF format a
cover letter, curriculum vitae, statement of research interest, and
three letters of reference to the search committee chair, Dr. Edwin
Michael at eigh@nd.edu. Files must be clearly named and identify the
position you are applying for. There is no deadline and the review of
applications will begin immediately upon receipt and will continue until
the position is filled. For additional information about working at the
University of Notre Dame and various benefits available to employees,
please visit http://hr.nd.edu/employment/working_at_nd.shtml.
----------------------------------------------------
From: Rachel Norman <r.a.norman@stir.ac.uk>
Date: August 22, 2014 10:39:26 AM
Subject: Lectureship: Mathematical Biology, U Stirling
The Division of Computing Science and Mathematics, within the School of
Natural Sciences at the University of Stirling is offering a lectureship
in Mathematical biology. The closing date is 26th September 2014.
Details can be found at http://www.stir.ac.uk/about/jobs/list/. The job
reference number is SCH00366. For informal enquiries please contact
Dr Adam Kleczkowski (ak@cs.stir.ac.uk) or Prof Rachel Norman
(ran@cs.stir.ac.uk).
----------------------------------------------------
Subject: SMBnet Reminders
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