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Potentials (MLIP), machine learning (ML) predictive models and AI tools. Activities : Computer science implying ML and AI tools applied to material science Where to apply Website https://umontpellier.nous
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available1Company/InstituteIMT Nord EuropeCountryFranceCityDouai Contact Website https://imt-nord-europe.fr/ecole/nous-rejoindre/ STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E
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the Cancer Epigenetics and Immunotherapy group headed by Dr Pilar Dominguez at the Mediterranean Center for Molecular Medicine (C3M) INSERM U1065 - Université Côte d’Azur in Nice https://www.c3m-nice.fr/en
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the University of Bordeaux. With a staff of 170 people spread across 13 teams, the IINS brings together multidisciplinary expertise to study the molecular and cellular mechanisms involved in brain
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with other partners involved in the MAESTRO/ORCESTRA field campaign and the MAESTRO team. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8539-ISARIC-129/Default.aspx Requirements Research
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participates in the “Objectif Employeur Pro-Vélo” program. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9002-CHABOU-009/Default.aspx Requirements Research FieldBiological sciencesEducation
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at IPhT in collaboration with Matteo Cacciari at LPTHE. The position is initially filled for a period of 2 years, with the possibility of an extension for a third year. Where to apply Website https
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establish alternative experimental models to animal testing (NAM). The work will be carried out on the INGESYSBIO meta-platform: Engineering of native or reconstructed biological systems (https://bmbi.utc.fr
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university's main campus, IPBS benefits from a dynamic scientific environment within one of France's leading hubs for health sciences and biology. Further information is available at https://www.ipbs.fr
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
., "Continual learning for VLMs: A survey and taxonomy beyond forgetting," 2025. 3. Y. Xu, Y. Ban, G. Delorme, C. Gan, D. Rus, and X. Alameda-Pineda, "Transcenter: Transformers with dense representations