SMB Digest Volume 18 Issue 54

SMB DIGEST ISSN 1086-6566
VOLUME 18 ISSUE 54
December 30, 2018
This issue’s editor:

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Issue’s Topics:
Workshop on Statistical Analysis of Neural Data May 21-23 2019 Pittsburgh
Conference on algorithms for computational biology May 28-30 2019 California
Summer School July 8-12 2019 Trento
Postdoc positions at Michigan State University
SMBnet Reminders

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From: Byron Yu <byronyu@cmu.edu>
Date: Mon., 24 Dec. 2018 at 1:22
Subject: Workshop on Statistical Analysis of Neural Data May 21-23 2019 Pittsburgh

The ninth international workshop on Statistical Analysis of Neural
Data (SAND9) will take place on May 21-23, 2019, in Pittsburgh, PA.
Please mark your calendar. Registration will open in January.
More details can be found at the SAND9 website:

sand.stat.cmu.edu

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From: IRDTA <irdta@irdta.eu>
Date: Mon., 24 Dec. 2018 at 5:06
Subject: Conference on algorithms for computational biology May 28-30 2019 California

6th INTERNATIONAL CONFERENCE ON ALGORITHMS FOR COMPUTATIONAL BIOLOGY
AlCoB 2019
Berkeley, California, USA
May 28-30, 2019
Co-organized by:
University of California, Berkeley
Institute for Research Development, Training and Advice, Brussels/London
alcob2019.irdta.eu/

AlCoB 2019 will consist of:
invited lectures
peer-reviewed contributions
posters

SUBMISSIONS:

Authors are invited to submit non-anonymized papers in English presenting
original and unpublished research. Papers should not exceed 12 single-spaced
pages (all included) and should be prepared according to the standard format
for Springer Verlag’s LNCS series
(see www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).

Submissions have to be uploaded to:
easychair.org/conferences/?conf=alcob2019

PUBLICATIONS:
A volume of proceedings published by Springer in the LNCS/LNBI series
will be available by the time of the conference.

A special issue of a major journal will be later published containing
peer-reviewed substantially extended versions of some of the papers
contributed to the conference. Submissions to it will be by invitation.

DEADLINES (all at 23:59 CET):
Paper submission: January 12, 2019
Notification of paper acceptance or rejection: February 19, 2019
Final version of the paper for the LNCS/LNBI proceedings: February 26, 2019
Early registration: February 26, 2019
Late registration: May 14, 2019
Submission to the journal special issue: August 30, 2019

QUESTIONS AND FURTHER INFORMATION: david@irdta.eu

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From: Andrea Pugliese <andrea.pugliese@unitn.it>
Date: Thu., 27 Dec. 2018 at 15:23
Subject: Summer School July 8-12 2019, Trento

The Summer School “Data Science and Epidemic Models” will take place
in Trento, Italy, from July 8 to 12, 2019.
The summer school aims at presenting state-of-the-art techniques to exploit the
available data to improve our understanding of epidemic dynamics and spread.
The topics will include:
• computational and statistical methods for analyzing epidemiological data,
as well as data arising from new technological tools (such as genetic analysis,
social media…);
• methods for inferring detailed mobility and contact patterns to be integrated
in global epidemic models.
The school will include some hours of computer practice in the application of
the methods, and it is intended for Ph.D. students, beginning post-docs and
advanced Master’s students, preferably with some experience in the area.
Lecturers:
• Nuno Faria, University of Oxford (UK)
• Christophe Fraser, University of Oxford (UK)
• Niel Hens, Hasselt University (Belgium)
• Aaron King, University of Michigan (USA)
• Alessandro Vespignani, Northeastern University, Boston (USA)
Participation will be limited to 50 people; participation fee 250 Euros.
The online form for participation will be available from February 1 on the
School Web site.
Deadline: April 1, 2019.
All information available on the website
webmagazine.unitn.it/en/evento/dmath/51928/data-science-and-epidemic-models
To contact us, write an e-mail to dsem2019@unitn.it

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From: Wei, Guowei <weig@msu.edu>
Date: Wed., 26 Dec. 2018 at 17:52
Subject: Postdoc positions at Michigan State University

Two postdoctoral associate positions are available at the Wei group at
the Department of Mathematics, Michigan State University. Research topics
can be either one or an arbitrary combination of the follows:

1) Machine learning/deep learning theory and application.

2) Data analysis with either algebraic topology, differential geometry,
graph theory, combinatorics, or other mathematical tools.

3) Mathematical molecular bioscience and biophysics.

4) Drug design and discovery.

Ideal candidates should have much coding experience and solid training
in mathematics. Requirements include a Ph.D. in either mathematics or other
quantitative sciences, such as biophysics, computational chemistry, and computer
science. These positions are partially funded by NSF, NIH, Pfizer, Bristol-Myers
Squibb, and Detroit Medical Center. Successful candidates have opportunities to
work with world top performers on computer-aided drug design (winners of the D3R
Grand Challenge competitions), and Pfizer and Bristol-Myers Squibb scientists.
Interested candidates should apply to Mathjobs and send a note to weig@msu.edu.

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Subject: SMBnet Reminders
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