Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Institut Pasteur
- French National Institute for Health Research (INSERM)
- Universite de Montpellier
- University of Luxembourg
- DI ENS
- ESSEC Business School
- INSERM DR Paris 5
- La Rochelle Université
- Luxembourg Institute of Health (LIH)
- Luxembourg Institute of Science and Technology (LIST)
- University of Caen Normandie
- University of Lille
- Université Côte d'Azur
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- Université de Caen Normandie
- 7 more »
- « less
-
Field
-
, statistical analysis and visualization of genomic and phenotypic data. * Interpretation of experimental and bioinformatic results in the context of bacterial adaptation to stress. * Contribution
-
Hygiene conference. Candidate profile: An ideal candidate will likely have a PhD in statistical population genetics (e.g., prior experience working with ARGs / coalescent-with-recombination), computational
-
- Good communication of scientific results -Knowledge on evolution, statistics, evolutionary genomics, especially for sex chromosome studies (phylogenomics, orthology, selection, synteny, SNPs, structural
-
statistical models (Bayesian approaches, geographical analyses) adapted to environmental data. • Carry out statistical analyses and the spatial distribution of risk between residential environmental exposures
-
the help of statistics, artificial intelligence and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease-associated alterations For further information, please
-
and water content. Statistical analyses of satellite data describing forest dynamics, and their correlation with pre-defined climatic indicators for the dry season. The Institut des Géosciences de
-
approaches for machine learning. Research interests span representation learning, statistical inference, trustworthy machine learning and generative models. DATA is hosted at the interdisciplinary Centre de
-
of statistics is preferred. Experience with experimental work and molecular ecology methods is an asset. The candidate must demonstrate proven ability in independent scientific research and skills in writing
-
» BiodiversityEducation LevelPhD or equivalent Skills/Qualifications Proficiency in the Python programming language, inferential statistics and mapping (GIS). Specific Requirements PhD in marine ecology with skills in data
-
environmental exposures and human health. Good statistical knowledge. Experience with common programming languages (R, Python). Experience managing and analysing large datasets, particularly environment and/or