[Cse-jobs] Fwd: [Compbio-group] Multiple Postdoctoral Fellow Positions in Computational Biology at University of Washington
Jeremy Buhler
jbuhler at wustl.edu
Tue Feb 7 13:23:51 CST 2012
-------- Original Message --------
Subject: [Compbio-group] Multiple Postdoctoral Fellow Positions in
Computational Biology at University of Washington
Date: Tue, 7 Feb 2012 11:01:24 -0800
From: Su-In Lee <suinlee at cs.washington.edu>
To: compbio-group at cs.washington.edu
*
Postdoctoral Fellow Positions at University of Washington*
Two postdoctoral fellow positions are available in the lab of Prof Su-In
Lee in the Departments of Computer Science & Engineering (CSE) and
Genome Sciences (GS) at the University of Washington in Seattle.
The Lee lab is interested in developing computational approaches based
on machine learning and statistics to address key problems in biology
and medicine. Current research is focused on /Systems Medicine/ an
emerging field that aims to infer and "reconstruct" biological networks
underlying complex disease processes by integrating various types of
high-throughput biological data; and to define clinically detectable
molecular "fingerprints" resulting from the disease-perturbed biological
networks to detect and stratify various pathological conditions for
personalized and predictive healthcare. Specific research themes include:
-Functional genomics towards personalized health care predicting
sensitivity to chemotherapy drugs in cancer (Acute Myeloid Leukemia)
treatment based on functional genomic data
-Systems biology of disease mechanisms (cancer, metabolic syndrome,
cardiovascular disease), complex biological traits, evolution,
development and tissue specificity
-Systems genetics -- system-level understanding of the effect of
genetic/epigenetic variation on complex biological traits
-Genomics meets genetics integrating functional genomic data to inform
genome-wide association studies (lung functions, dementia)
-Predictive medicine predicting the condition of critical patients in
ICU based on many clinical measurements
-Developing novel machine learning and data mining techniques
Many of the projects are multidisciplinary in nature and are being
conducted in an excellent environment in which to learn and integrate
computational and clinical approaches to human disease. The University
of Washington is one of the top universities in all relevant fields
computational biology, genetics/genomics, medicine, AI/ML and
statistics/biostatistics.
Research projects will provide an opportunity to develop a working
knowledge of Medicine and specific projects with collaborators in the
Departments of GS, Medicine, Epidemiology, Pathology, Fred Hutchinson
Cancer Center, and Group Health. This tight collaborative network
facilitates access to primary data, and experimental and clinical
settings in which to validate and extend new hypotheses generated by our
research. The postdoctoral fellow may be co-mentored by Prof Su-In Lee
and other computational biologists at UW CSE Profs Martin Tompa, and
Larry Ruzzo and the project-specific collaborators.
For more information including active research projects in the lab and
the list of collaborators, please visit our lab project website:
http://www.cs.washington.edu/homes/suinlee/research.html
Competitive candidates will have received a PhD in computer science,
electrical engineering, statistics, biostatistics, bioengineering,
genetics, biology, medicine, or a related field with solid computational
background. A background in machine learning, statistics, with
experience in analyzing large-scale genomic datasets is a plus. For a
candidate with a strong quantitative background and solid programming
skills, it is not essential to have experience with biological problems.
To apply, please email Prof Lee (suinlee at uw.edu <mailto:suinlee at uw.edu>)
your updated CV, including a publication list and names of at least
three references, with the subject line Post-doctoral Fellowship
Application.
--
Su-In Lee, Ph.D.
Assistant Professor
Department of Computer Science & Engineering, Department of Genome Sciences
University of Washington
536, Paul Allen Center, 185 Stevens Way, Seattle, WA 98195 (CSE)
S-243C, Foege Building, 1705 NE Pacific St. Seattle, WA 98195 (GS)
phone: 206-685-1418
http://www.cs.washington.edu/homes/suinlee/
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