[BBC] Joint PhD position at CWI and NKI, Amsterdam
Gunnar W. Klau
Gunnar.Klau at cwi.nl
Fri Jan 30 14:33:16 CET 2009
The National Centre for Mathematics and Computer Science (CWI) and the
Netherlands Cancer Institute (NKI), both located in Amsterdam, The
Netherlands, invite applications for a jointly advised PhD position on
Subnetwork module construction for improved diagnostic classification
and subtyping
CWI is the national research institute for mathematics and computer
science in the Netherlands. CWI performs frontier research in
mathematics and computer science and transfers new knowledge in these
fields to society in general and trade and industry in particular. The
newly established Life Sciences group develops algorithms, theory, and
models, and performs simulations for a wide range of biological topics
with a strong focus on systems biology.
The Netherlands Cancer Institute is the only dedicated cancer center
in the Netherlands and maintains an important role as a national and
international center of scientific and clinical expertise, development
and training. Research within the Netherlands Cancer Institute covers
all major areas of cancer research, with a strong emphasis on
translational research. The Bioinformatics and Statistics group
closely collaborates with basic scientists and clinicians and conducts
research on a wide range of topics, focusing on integrative
bioinformatics.
The opening is a research position within the field of bioinformatics/
computational biology and will be a joint appointment between the two
institutes. The research will be carried out in close collaboration of
the involved partners.
The successful candidate will contribute to building better predictors
of disease outcome based on functional interaction network modules,
which are predictive of a specified phenotype, e.g., outcome in
cancer. To this end, development of new algorithms to detect these
modules given a complex interaction graph has to be combined with
protocols for building predictive classifiers given the activation
patterns of the retrieved modules.
The ideal candidate has a background in bioinformatics, computer
science, statistics, physics, or biology, strong algorithmic and/or
machine learning skills, and experience with the analysis of high-
throughput data.
Applications consisting of motivation letter, Curriculum Vitae, a list
of publications, and a list of references should be send by email
before 15 March 2009 to Dr. G.W. Klau or Dr. L.F.A. Wessels, who can
also supply further information about this position. Please see the
website http://www.cwi.nl/en/node/961 for further details.
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