Location: Paris, France
Compensation: to negotiate; relocation allowance to be discussed
Job Type : Contract, promotion to a permanent position possible
Term of Position: 24 months, promotion to a permanent position to be discussed
Posted: April 3, 2013
Application Deadline : Open until filled
Description:
We are looking for a candidate with strong Machine Learning background to join the Nutriomics team. The laboratory is associated with the INSERM (National French Institute of Medicine and Health), University Pierre et Marie Curie, and ICAN ( Institute of Cardiometabolism and Nutrition).
About the position:
Candidates should have a good background in probabilistic graphical models, statistical learning, and Bayesian inference (generative/discriminative setting). PhD degree in mathematical, computer modeling, bioinformatics/biostatistics, or related science.
Experience in analyzing large volumes of data is good to have.
Interest in biology. Background in computational biology and experience with biological datasets are desirable but not obligatory.
Good spoken and written English, excellent communication skills, mature and motivated, as well as a pro-active attitude, creative and multitasking.
Experience in developing tools or packages in R, Maltlab, etc. is expected.
About the Nutriomics team:
The Nutriomics team is focused on understanding of the patho-physiological mechanisms associated with obesity at its different stages of natural evolution. We are studying mechanisms of regulation in response to environmental variations and changes, and we are interested in integration of complex clinical and biological data.
To apply
Applicants should email to Prof. Jean-Daniel Zucker and Prof. Karine Clement at Recruitment@fondation-ican.com with subject line “Postdoc application” and include a cover letter, a CV, and a list of at least two references.