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Immune Modeling Summer School Workshop

What Workshop
When 2009-08-17 08:00 AM to
2009-08-21 05:00 PM
Where Santa Fe
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The Duke University Center for Computational Immunology is pleased to announce that we are partnering with the Santa Fe Institute to host the 2009 Summer School on Quantitative and Computational Immunology in Santa Fe, August 17-21.

Deadlines have been extended
Scholarship Application deadline is June 26, 2009
Registration deadline is Jul 3, 2009.


See link at page bottom for summer school website.

The purpose of this workshop is to provide training to young investigators
in the immunological sciences who are interested in using tools from
computational biology in their research. The ideal participant will use
this workshop experience to go on toward more in-depth study and develop
methods tailored to his or her own research needs. The workshop will
cover those aspects of computational biology, mathematical modeling, and
statistical data analysis that are particularly relevant to immunologists.


The workshop will last for one week. The first day will be spent covering
preliminaries from mathematics, statistics, and modeling. The remaining
four days will each be devoted to a broad theme in which the modeling and
data analysis center on a particular biological level of organization as
follows:


1. Mathematics, Statistics and Modeling
2. Population Modeling and Flow Cytometry
3. Tissue Modeling and Imaging
4. Bioinformatics and Population Genetics & Molecular Evolution
5. Gene Expression, Pathways, and Networks


Instructors:

1. Cliburn Chan, Duke University
2. Damien Chaussabel, Baylor University
3. Rob J. de Boer, Universiteit Utrecht
4. Austin Hughes, University of South Carolina
5. Thomas B Kepler, Duke University
6. Katia Koelle, Duke University
7. Ioanna Manolopoulou, Duke University
8. Sayan Mukherjee, Duke University
9. Alan Perelson, Los Alamos National Laboratory


Each day will be divided between lectures and computational labs. The
labs will provide an opportunity for the participants to exercise what
they have learned, investigating the behavior of models and analyzing
data. Each participant will bring his or her own laptop; software will be
made available for download on the web. Software will include programs
developed by the instructors as well as common packages used for routine
computational procedures.

More information about this event…


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