SMB Digest Volume 18 Issue 52

SMB DIGEST ISSN 1086-6566
VOLUME 18 ISSUE 52
December 14, 2018
This issue’s editor:

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Issue’s Topics:
Call for Proposals Local Organizers for CNS*2020
Annual Symposium of SCMB Jan 28-29 2019 Georgia Tech
NSF webinar 10:30 AM Monday, December 17
Announcements from NIMBioS
Call for papers 19th CMMSE June 30-July 6 Cadiz
Request for Information-Integration Institutes for Cross-cutting Biology
PhD Studentships available in University of Exeter
Postdoc position University of Nebraska
Postdoc position Universidad de Costa Rica
NSF funding opportunity
SMBnet Reminders

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From: Sharon Crook <Sharon.Crook@asu.edu>
Date: Fri., 7 Dec. 2018 at 14:32
Subject: Call for Proposals Local Organizers for CNS*2020

We look forward to seeing all of you next summer at the 2019 Computational
Neuroscience meeting in Barcelona! However, it is already time to begin planning
for CNS*2020. OCNS requests proposals from candidate local organizers to hold
CNS*2020 at a location outside of Europe, preferably in North or South America.
Groups or individuals interested in organizing the 2020 meeting should submit a
proposal following the extensive on-line instructions and using the on-line
templates at: www.cnsorg.org/cns-2020-local-organizer.
Proposals should be submitted by email to the OCNS President at
president@cnsorg.org no later than February 1, 2019. The OCNS Board Members will
consider the proposals, contact local organizers for more information if
necessary, and select a location in a timely agreement between OCNS and the
potential local organizers. As usual, the selected location will be officially
announced at the CNS Meeting in July.
An earlier email to the OCNS President declaring the intent to submit a proposal
would be appreciated, but is not required.

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From: Short, Kimberly Y <kyshort@gatech.edu>
Date: Fri., 7 Dec. 2018 at 18:52
Subject: Annual Symposium of SCMB Jan 28-29 2019 Georgia Tech

The Southeast Center for Mathematics and Biology (SCMB), a NSF-Simons MathBioSys
Research Center, is hosting its first Annual Symposium on Jan 28th & 29th, 2019,
at the Georgia Institute of Technology.
Keynote speakers:
Alexander Anderson (Moffitt Cancer Center)
Lisa Fauci (Tulane University)
Laura Landweber (Columbia University)
Amy Shaub Maddox (UNC Chapel Hill)
Jo Ellis-Monaghan (Saint Michael’s College)
Konstantin Mischaikow (Rutgers University)
Clayton Shonkwiler (Colorado State University)
Caroline Uhler (MIT)

Register at scmb.gatech.edu/symposium/about
Register fees: $35 by Dec 10th/$50 after.
Travel support available, see website for more information. Junior participants,
including TT faculty, are especially encouraged to apply.
SCMB is a collaborative partnership of seven institutions united in advancing the
mathematics of complex biological systems and expanding communities at the
math-bio interface.

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From: Henry Warchall <hwarchal@nsf.gov>
Date: Mon., 10 Dec. 2018 at 20:19
Subject: NSF webinar 10:30 AM Monday, December 17

The National Science Foundation will hold a webinar (teleconference seminar) to
outline the goals of, and proposal-submission requirements for, the new program
Harnessing the Data Revolution: Data Science Corps (HDR DSC).
The webinar will take place on Monday, December 17, 2018 from 10:30 to 11:30 AM,
EST (Eastern Standard Time; GMT-05:00). To participate, please see the information
on the NSF Event page for the webinar:
www.nsf.gov/events/event_summ.jsp?cntn_id=297443

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From: NIMBioS <newsletter@nimbios.org>
Date: Thue., 6 Dec. 2018 at 13:27
Subject: Announcements from NIMBioS

See myemail.constantcontact.com/Announcements-from-NIMBioS.html?soid=1102610363105&aid=RdU0P0W3FAM

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From: Prof. Jesús Vigo-Aguiar <jvigo@usal.es>
Date: Thu., 13 Dec. 2018 at 6:04
Subject: Call for papers 19th CMMSE June 30-July 6 Cadiz

19th Conference on Computational and Mathematical Methods in Science and
Engineering, Barceloi Costa Ballena Golf & SPA

June 30-July 6, Cadiz, Andalucia, Spain.
cmmse.usal.es/cmmse2019/
Call for Presentations and special sessions
The 2019 Conference on Mathematical Methods in Science and Engineering Conference
(CMMSE-2019), is the fourteen of this conference series. CMMSE2019 aims to be a
unifying, cross-cutting, interdisciplinary gathering, where specialists can have
exposure to diverse fields and participate in special sessions different from but
still close to their own interests.

Standard presentation: 20 minutes in length.
Special Sessions: Minimum of 8 presentations.
Symposiums more than 12 presentations.
Symposiums chairs can act as plenary speakers.
FOR SPECIAL SESSIONS PROPOSALS contact: cmmse@usal.es

IMPORTANT DATES:
May 10– Deadline for submission of Abstracts (3-4 pages) or full papers (12 pages).
May 15 — Notification of Acceptance
June 1 –- Registration (with podium)

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From: AIBS <aibs@rasa.io>
Date: Wed, Dec 12, 2018 at 9:25 AM
Subject: Request for Information-Integration Institutes for Cross-cutting Biology

Request for Information – Integration Institutes for Cross-cutting Biology
(nsf19027) | NSF – National Science Foundation and more, December 12, 2018
See www.nsf.gov/pubs/2019/nsf19027/nsf19027.jsp?MessageRunDetailID=76655545&PostID=3349633

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From: Tsaneva, Krasimira <K.Tsaneva-Atanasova@exeter.ac.uk>
Date: Fri., 7 Dec. 2018 at 15:20
Subject: PhD Studentships available in University of Exeter

PhD Studentships available in Prof K Tsaneva-Atanasova’s group at the University
of Exeter. The open PhD Positions available at the University of Exeter:
1. Debugging Lung Disease: Applying mathematical modelling for a precision
medicine approach to the Pulmonary Microbiome.
Apply to University of Exeter: www.exeter.ac.uk/studying/funding/award/?id=3053
2. Non-linear Dynamics of Human Locomotion
(www.exeter.ac.uk/codebox/phdprojects/Williams-EPSRC-DTP-Project.pdf).
3. Interactive virtual reality for individuals with complex PTSD
(www.exeter.ac.uk/codebox/phdprojects/Tsaneva-Atanasova-EPSRC-DTP-Project.pdf)
4. Noise-cancelling technology for clock neurones
(www.exeter.ac.uk/codebox/phdprojects/Sieber-EPSRC-DTP-Project.pdf).
Apply to University of Exeter:
www.exeter.ac.uk/studying/funding/award/index.php?id=3386

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From: Kenneth Wertheim <kwertheim2@unl.edu>
Date: Wed., 12 Dec. 2018 at 17:32
Subject: Postdoc position University of Nebraska

Computational and Systems biology group at the University of Nebraska (Lincoln,
Nebraska, USA) is looking for a quantitatively trained and highly motivated post-
doctoral researcher to expand and validate a virtual immune system: a mechanistic,
multi-scale, and multi-cellular model of the immune system. In the model, immune
cells are represented as discrete and autonomous entities in an agent-based
framework in various compartments, while the extracellular environment is
described as continuous concentrations by ordinary differential equations. Each
cell is also modeled at additional molecular scales to capture the dynamics at the
level of metabolism, gene regulation and signal transduction, using various
mathematical and computational approaches. In addition to life sciences research,
we also develop technologies (such as Cell Collective) to make computational
systems biology broadly accessible to users with varying computational background.

More information about our group at helikarlab.org.
The researcher will work in collaboration with other members of the group, and
will have the opportunity to work on multiple projects in an international and a
highly interdisciplinary setting with laboratory scientists, computer scientists,
engineers, and mathematicians.

Essential qualifications and skills include:
1. PhD in a quantitative subject such as computational biology, bioinformatics,
engineering, mathematics, physics, and computer science.
2. Deep understanding of immunology.
3. Mastery of modeling frameworks (at least one of differential equations, agent-
based modeling, logical modeling, and constraint-based modeling) and their use in
multi-scale modeling of complex biological systems.
4. Strong expertise in parametric estimation.
5. Computational and programming competence (C++, MATLAB, and LINUX).
6. Desirable qualifications and skills include:
7. Strong biology background (e.g., metabolism, signal transduction, immunology,
host-pathogen interactions).
8. Experience with extracting and manipulating large datasets from various
databases, and integration of these data with predictive computational models.
9. Experience with statistics and machine learning, especially in the context of
multi-omics.
10. The start date is immediate (but flexible depending on mutual agreement), and
the position is open until filled.
11. If interested, please send a cover letter, CV, and contact information for
three references to Dr. Tomas Helikar at thelikar2@unl.edu

The University of Nebraska has an active National Science Foundation ADVANCE
gender equity program, and is committed to a pluralistic campus community through
affirmative action, equal opportunity, work-life balance, and dual careers.

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From: Fabio Sanchez <fsanchez1019@gmail.com>
Date: Thu., 13 Dec. 2018 at 21:25
Subject: Postdoc position Universidad de Costa Rica

Postdoctoral opportunity at the Universidad de Costa Rica. The position is for two
years to work with an interdisciplinary team on mathematical modeling of
infectious diseases.
Project details: www.cimpa.ucr.ac.cr/index.php/investigacion/ucrea
For more details please contact: fabio.sanchez@ucr.ac.cr or cimpa@ucr.ac.cr.

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From: Henry Warchall <hwarchal@nsf.gov>
Date: Mon., 10 Dec. 2018 at 21:22
Subject: NSF funding opportunity

Future of Work at the Human-Technology Frontier: Core Research (FW-HTF)
Please see for details
nsf.gov/funding/pgm_summ.jsp?pims_id=505620

Full Proposal Deadline Date: March 6, 2019
The Future of Work at the Human-Technology Frontier (FW-HTF), one of the Big
Ideas, is one mechanism by which NSF is responding to the challenges and
opportunities for the future of jobs and work. The overarching vision is to
support convergent research to understand and develop the human-technology
partnership, design new technologies to augment human performance, illuminate the
emerging socio-technological landscape, understand the risks and benefits of new
technologies, understand and influence the impact of artificial intelligence on
workers and work, and foster lifelong and pervasive learning.
The specific objectives of the Future of Work at the Human-Technology Frontier
program are:
(1) to facilitate convergent research that employs the joint perspectives,
methods, and knowledge of computer science, engineering, learning sciences,
research on education and workforce training, and social, behavioral, and economic
sciences;
(2) to encourage the development of a research community dedicated to designing
intelligent technologies and work organization and modes inspired by their
positive impact on individual workers, the work at hand, the way people learn and
adapt to technological change, creative and supportive workplaces (including
remote locations, homes, classrooms, or virtual spaces), and benefits for social,
economic, and environmental systems at different scales;
(3) to promote deeper basic understanding of the interdependent human-technology
partnership to advance societal needs by advancing design of intelligent work
technologies that operate in harmony with human workers, including consideration
of how adults learn the new skills needed to interact with these technologies in
the workplace, and by enabling broad workforce participation, including improving
accessibility for those challenged by physical or cognitive impairment; and
(4) to understand, anticipate, and explore ways of mitigating potential risks
arising from future work at the human-technology frontier.
A proposal for a research grant in this program must focus on advancing
fundamental understanding of future work, and potential improvements to work,
workplaces, workforce preparation, or work outcomes for workers and society. It
must be convergent research that addresses the technological as well as the human
and societal dimensions and potential impact of future work, and in doing so, make
significant contributions to both intellectual merit and broader impact. Achieving
this goal requires integration and convergence of disciplines across computer
science, engineering, learning sciences, research on education and workforce
training, and social, behavioral, and economic sciences.

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Subject: SMBnet Reminders

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