1,707 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" positions in France
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of: • machine learning • cybersecurity • distributed systems • privacy-enhancing technologies The research will be carried out within the (team name) at LS2N, focusing on trustworthy AI and cybersecurity
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at the crossroads of AI, machine learning, bioinformatics and genomics, and in developing new methods rather than just applying existing ones, we'd like to hear from you. Website for additional job details https
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the influence of the presence of different types of natural spaces in different contexts (coastal, mountainous, etc.) on urban forms. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR6266-REMLEM
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Description The doctoral student will study the integration of molecular motors into supramolecular self-assemblies, and how the mechanical work generated by the actuation of the molecular machine will
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, Full Professor of Ethnomusicology (JMU / ECLLA Laboratory) and Zoé Schweitzer, Full Professor of Comparative Literature (JMU / IHRIM Laboratory). For further information : https://arts.univ-st-etienne.fr
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4 Apr 2026 Job Information Organisation/Company UNIVERSITE DE TOULON (VAR) Research Field Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4
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4 Apr 2026 Job Information Organisation/Company UNIVERSITE DE TOULON (VAR) Research Field Engineering » Computer engineering Computer science Researcher Profile Recognised Researcher (R2) Leading
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quantitative and machine learning approaches ● Developing predictive models linking nuclear features to future cell fate ● Interacting with collaborators in imaging, computational biology, and developmental
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expertise in HCI and education, including adaptive gamification, engagement, learning analysis, and the design of motivational affordances in education. As part of the project, the PhD student will work with
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, understanding and predicting their thermal conductivity from first principles calculations is very challenging. In this doctoral research project, we plan to use machine learning potentials to investigate