Dear allstat,
this is an announcement for a two-year postdoc position in our lab. The
selection will be done according to the subject and to the candidates.
Here is a brief description of the project. Feel free to contact me if
you are interested or if you need more information.
Best,
Franck
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the annoucement is posted here:
http://www.inria.fr/travailler/mrted/fr/postdoc/details.html?id=PGTFK026203F3VBQB6G68LONZ&LOV5=4508&LOV2=4488&LG=FR&Resultsperpage=20&nPostingID=3040&nPostingTargetID=6901&option=52&sort=DESC&nDepartmentID=19
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subject:
Curve Clustering and molecular markers identification for cancer
Modern molecular biology techniques such as microarrays now allow us to
investigate the variations of gene-copy numbers at the genomic scale.
These patterns of chromosomal alterations constitute molecular
portraits of tumors in cancer, and attention has now shifted towards the
determination of genomic markers that could be used for diagnosis and/or
prognosis of cancer. The research direction of the project is to use and
develop signal processing techniques to analyze and combine genomic data
mainly acquired from the microarray technology. From a mathematical
perspective the project aims at developing models for curve
clustering, using wavelets, mixed models and model selection. Another
question that will be addressed is the appropriate combination of
markers that best explain/predict the disease. To this extend, this
subject combines methodological questions in statistics and
combinatorics.
The postdoc will be based at the Laboratoire de Biometrie et
Biologie Evolutive in Lyon, in the Bamboo team that gathers many
researchers from diverse nationalities. He/She will be supervised by
Franck Picard, who works on the statistical analysis of array CGH
data, and will benefit of the experience of A. Antoniadis and
S. Lambert-Lacroix from the Laboratoire Jean Kuntzmann, Grenoble. The
combinatorics part of the project will be supervised by Marie-France
Sagot.
The postdoc candidate will be a statistician whose application field
is directed towards biology. Knowledge and/or experience in functional
analysis, signal processing, clustering and model selection would be
valuable, as well as experience on microarray data
analysis. Programming (R, C++, others ?) will also be an important
part of the project with the aim of providing a tool to the community
such as an R package for instance.
--
Franck Picard - CNRS
Laboratoire Biometrie et Biologie Evolutive
UCB Lyon 1 - Bât. Grégor Mendel
43 bd du 11 novembre 1918
69622 VILLEURBANNE cedex, France
tel : +33 (0)4 72 44 85 44
fax : +33 (0)4 72 43 13 88
http://lbbe.univ-lyon1.fr/-Picard-Franck-.html
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