Sort by
Refine Your Search
-
are seeking a candidate holding a Master 2 degree in computational biophysics, structural bioinformatics, or a related field. Knowledge of statistical mechanics and/or machine learning would be an asset
-
4 Jul 2026 Job Information Organisation/Company CNRS Department Centre de Nanosciences et de Nanotechnologies Research Field Engineering Physics Technology Researcher Profile First Stage Researcher
-
31 Jul 2026 Job Information Organisation/Company CNRS Department Institut des NanoSciences de Paris Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline 20 Aug 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per...
-
1 Aug 2026 Job Information Organisation/Company CNRS Department Institut de Génétique Humaine Research Field Biological sciences Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Application Deadline 21 Aug 2026 - 23:59 (UTC) Country France Type of...
-
31 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Engineering Physics Technology Researcher Profile First Stage
-
? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD work will be carried out within the EMPRe team (https://dcm.univ-grenoble
-
University campus. It is part of the Institut Pierre-Simon Laplace (IPSL). LSCE, which brings together over 350 researchers, PhD students, engineers, technicians and administrative staff, studies past, present
-
Description The PhD candidate will contribute to a fundamental research project in cognitive neuroscience aimed at improving our understanding of the neural mechanisms involved in human decision-making during
-
– Atmosphere” (TOSCA) domain of the CNES. Since 2011, the GET has also been an affiliated unit and a component of the Carnot Institute ISIFoR (Sustainable Engineering of Georesources). This project aims
-
archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming