Sort by
Refine Your Search
-
ancestral recombination graphs to study of the genetic basis of diseases, incorporating ancient genomes • Apply and develop methods for partitioning heritability and estimating genetic correlations • Develop
-
collaborate with ARCHIVES project partners to ensure coordinated progress and sharing of results. · Develop solutions combining numerical modeling, mathematical methods, and statistical/AI approaches
-
on the statistical inference of Linear Mixed Models (LMMs). The project's goal is to develop a new breed of Mixed Effects Neural Networks (MENN) for Genome InterpretationI that take the best from both worlds, merging
-
Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
and theoretical questions related to statistical modeling, prior design in the Bayesian framework, convex and non convex optimization, stochastic optimization. He/she is expected to develop commented
-
and statistical analyses, and scientific English will be appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6049-JEAFOL-001/Default.aspx Work Location(s) Number
-
of the 2005 urban riots in France (https://doi.org/10.1038/s41598-017-18093-4 ). It will draw on data concerning these riots, the 2007 urban riots in the Ile-de-France region, and the Yellow Vests movement
-
sector, to develop these tools. The person hired for this position will work within the context of European project DTO-Bioflow (https://dto-bioflow.eu/ ), which the core missions to unlock those “sleeping
-
command of complex multivariate statistical techniques Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UAR2029-SEVBON-057/Default.aspx Work Location(s) Number of offers
-
* Sleep recording in narcoleptic mice * Conducting analyses of the data obtained * Performing statistical analyses and formatting the data * Writing scientific manuscripts Secondary tasks: * Mentoring
-
postdoctoral researcher will investigate how data fusion techniques can be incorporated into FORMOSA to address the challenges described above. They will propose new methodologies based on statistical inference