Summer School: Computational Immunology, June 20-23, Yale University
Applications are now being accepted for: The 11th-annual Summer School in
Computational Immunology. The summer school is a part of the NIH-funded
Modeling Immunity for Biodefense program. This year the summer school
is organized by PRiME (Program for Research on Immune Modeling and
Experimentation http://tsb.mssm.edu/primeportal) at Yale University from
June 20-23, 2016. The summer school will be immediately followed by a 1
day research symposium on "Influenza Immunology: Data, Systems and Models"
on June 24, 2016. The summer school application and scholarship deadline
is March 25, 2016.
Please pass around this information to your colleagues and students.
School Overview
This 4-day summer school is intended for experimental immunologists who
desire an introduction to mathematical/computational modeling techniques and
their applications to problems in immunology. Computational biology graduate
students at the earliest stages of their studies are also welcome to apply.
With a focus on influenza virus immunology, the summer school provides a
hands-on introduction to:
* Metadata management and standards for large scale experiments
* R scripting approaches to data analysis techniques including PCA,
clustering, differential expression
* How to use experimentally motivated deterministic and stochastic models
to explore hypotheses
* Data mining, integration and network analysis
Each of these modules will combine a morning session composed of lectures,
with a hands-on computer lab in the afternoon. For more information and to
apply to the summer school please visit:
http://tsb.mssm.edu/primeportal/?q=summerschool2016
Note that travel/lodging scholarships are available.
When: June 20-23, 2016
Where: Yale School of Medicine, New Haven, CT
Application due date: March 25, 2016
Sincerely,
Steven Kleinstein, Elena Zaslavsky and Stuart Sealfon
--
Vitaly V. Ganusov
Assistant Professor
M409 Walters Life Sciences
Department of Microbiology
Department of Mathematics
University of Tennessee
Knoxville, TN 37996-4505
USA
Phone: +1 865 974-4547
FAX: +1 865 974-4007
http://web.bio.utk.edu/ganusov/
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