Sort by
Refine Your Search
-
genomic data * Apply the statistical model to real datasets The position will be part of a 4-year collaborative project funded by the French National Agency (ANR). The research consortium gathers two
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Deep learning models, and in particular large language
-
FieldEconomicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldEconomicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD on the economic modelling of the oil market
-
FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria The candidate should hold a PhD in reactor physics or an equivalent degree. He or she should: - Have a good understanding of
-
), whose objective is to extend the HLA-Epicheck model, originally developed within the framework of a PhD thesis, and to implement new deep learning approaches to assess donor–recipient compatibility in
-
ExperienceNone Additional Information Eligibility criteria The postdoc should have a PhD degree in evolutionary biology, with expertise in bioinformatics, statistics, programming and/or modeling. Previous
-
approaches to model polarization. The aim of the project is to develop methodological tools to characterize and exploit the polarization information extracted from bivariate signals (i.e. two-dimensional
-
have obtained their PhD in Evolutionary Biology, Paleontology or similar before commencing the postdoctoral position. Candidates must have experience in phylogenetic reconstruction (Bayesian inference
-
, particularly using reconstructed human skin models that mimic aging or wound-healing conditions. This work takes place in a multidisciplinary framework combining chemistry, biophysics, and tissue engineering
-
changeYears of Research Experience1 - 4 Additional Information Eligibility criteria Strong background in atmospheric science, ocean–atmosphere interactions, or environmental modeling. • Knowledge of numerical