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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
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18 Jun 2026 Job Information Organisation/Company Le Mans Université Department LPG Research Field Geosciences Communication sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 19 Jul 2026 - 23:59 (Europe/Paris) Country France Type of...
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://scholar.google.com/citations?hl=fr&user=QNfwyjgAAAAJ&view_op=list_works&sortby=pubdate Main mission : The overall objective of the project is to devise Artificial intelligence (AI)-driven strategy to discover a new
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at the Laboratoire de Physique de l'ENS, within Team 23, Materials for Energy from Advanced Modeling, in a strongly interdisciplinary environment at the interface between atomistic simulation, artificial intelligence
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, or optimization**, connected to **artificial intelligence** and the research of **Antonin Chambolle** and his collaborators at CEREMADE. The position is a research position. The candidate will interact mainly with
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with Simulation-based Inference ), funded by the Multidisciplinary Institute for Artificial Intelligence (MIAI) through an AIforScience Research Chair. ADACSI will develop a multi-probe simulation-based
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, an interdisciplinary effort at the interface of genomics, artificial intelligence, and biophysics. The project aims to elucidate the mechanisms governing DNA replication initiation in metazoans by combining deep
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teaching centers, working in the fields of materials and civil engineering (C2MA), the environment and risk (CREER), and artificial intelligence and industrial and digital engineering (CERIS). It has 12
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centers, working in the fields of materials and civil engineering (C2MA), the environment and risk (CREER), and artificial intelligence and industrial and digital engineering (CERIS). It has 12 technology
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underlying mutation biases alongside fitness landscapes. BioRxiv. doi: 10.64898/2026.07.06.736753 Lytras S, Ghafari M, and Grove J (2026) Studying the Deep Evolution of Viruses in the Era of Artificial