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9 Mar 2026 Job Information Organisation/Company Université Paris Cité Department Center for Research in Epidemiology and Statistics (CRESS) Research Field Psychological sciences » Psychology
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Technologies de l'Information et de la Communication Field: Telecommunications / Machine Learning / Statistical Signal Processing. Research Lab: L2S (Laboratoire des Signaux et Systèmes) Advisor: Antoine BERTHET
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
Bayesian statistics, AI-assisted inverse problems, planetary remote sensing, and environmental monitoring. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09787 Requirements Skills
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understanding of neutron scattering and magnetism; Experience with density functional theory; Experience in statistics and programming. • Manual skills and rigorous attention to detail are essential in this work
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) analysis on gold surfaces. The student will develop a data analysis method (e.g. statistical methods) to identify the main parameters driving metabolite-surface interactions in the presence of different
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(Position P): Agricultural AI data integration and management based on LLM In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management and
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collaboration (neuroscience, artificial intelligence, cognitive psychology) and aims to develop a novel theory of auditory scene analysis in the brain and in machines. In Marseille, the group focuses
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of the project (https://anr.fr/projet-ANR-24-CE28-5107 ). Main Tasks • Development of a research axis: The recruited researcher will be responsible for leading the research axis focusing on the relationship
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Northwest Arabia, primarily at AlUla and Khaybar. The researcher will develop an approach based on the chaîne opératoire concept, integrating typo-chronological, technological, and archaeometric analyses
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develop a research and training programme that bridges the current divide between space engineering and climate science to close the gaps that exist in the Life-Cycle Analysis of space launch systems. Thus