Sort by
Refine Your Search
-
Program
-
Employer
- CNRS
- Université PSL
- Inria
- Université de Bordeaux / University of Bordeaux
- Aix-Marseille Université
- Aix-Marseille Université - LABORATORY OF IONIC AND MOLECULAR INTERACTIONS
- CNRS and Ecole normale supérieure de Lyon
- Ecole normale supérieure de Lyon
- Institut Pasteur
- Le Havre University
- TELECOM Paris
- Université Claude Bernard Lyon 1
- ircan
- 3 more »
- « less
-
Field
-
. Recently a new trend of works [2,3,4] investigates how to build fast approximations of non-parametric algorithms that achieve optimal statistical guarantees and low computational requirements in the context
-
the other 15 early stage researchers (ESRs) to be recruited, the researchers will generate, integrate and apply multidisciplinary knowledge from applied mathematics, statistical physics, climate science and
-
post-doctoral researcher in genetic epidemiology / statistical genetics to work on deciphering the genetic, epigenetic, and molecular signature of cerebral small vessel disease (cSVD) across the lifespan
-
will be developed in an interdisciplinary team that gathers specialists of computer science, machine learning, climate dynamics, data sciences and statistical physics. [1] F. Ragone, J. Wouters and F
-
, statistics, physics, or mechanical engineering To apply : please send an email to both: • mireille.bossy@inria.fr • christophe.henry@inria.fr Applicants are required to send a cover letter, a CV, transcripts
-
these data coupled with modeling of the dissolution process. A key objective will be the construction of empirical or mechanistically-supported statistical relationships between reaction conditions
-
Aix-Marseille Université - LABORATORY OF IONIC AND MOLECULAR INTERACTIONS | Marseille, Provence Alpes Cote d Azur | France | about 1 month ago
Requirements -PhD in AI with topics related to game theory, machine learning, or reinforcement learning. -At least one paper published in high-quality journals. -Experience in programming (C++, Python,..). -Background in AI (sequential decision making, multiagent systems, game theory) and...
-
on new data structures, algorithms and statistical / machine learning approaches to store, arrange, process and analyze millions of individual genomes and genetic profiles. The most talented and motivated
-
capable to make copies of themselves. The success rate of the generative model will be tested experimentally, and used to compute the first statistically informed estimate of the probability of self
-
, experimental evolution (in vivo, in silico), biochemistry, cell biology, genetics, genomics, metagenomics, phylogenomics, metabolomics, immunology, bioinformatics, biophysics, statistics, medicine).