learning, statistical
learning, metrics, uncertainty, probabilistic model, massive data,
simulations
*L**ocation*: University ofNantes, LS2N (Laboratory for Digital Science
in Nantes) / UMR CNRS 6004,
DUKe Research group(Data User Knowledge)
*Thesis supervision*: Christine Sinoquet
3.
However, applications will be accepted until the position is filled.
Prospective applicants can meet Christine Sinoquet at Ado2013 (Cap2013)
July 1^st , 2013, Lille, France, if they attend.
Contact : Christine Sinoquet (christine.sinoq...@univ-nantes.fr
<mailto:christine.sinoq...@
Ramstein,
LINA UMR CNRS 6241, KOD (Knowledge and Decision Team) - Université de
Nantes, Polytech’Nantes
Christine Sinoquet,
LINA UMR CNRS 6241, (Knowledge and Decision Team) , University of
Nantes, Faculty of Sciences and Techniques
___
uai mailin
Nantes, Polytech’Nantes
Gérard Ramstein,
LINA UMR CNRS 6241, KOD (Knowledge and Decision Team) - Université de
Nantes, Polytech’Nantes
Christine Sinoquet,
LINA UMR CNRS 6241, (Knowledge and Decision Team) , University of
Nantes, Faculty of Sciences and Techniques
___
-informatics,
association study,
Further details are available below:
If you are interested in this position or if you know of a suitable
candidate, please get in touch.
Best regards,
Christine Sinoquet
_
Genome-wide computational methods for an integrated genetic
