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2 Sep 2025 Job Information Organisation/Company CNRS Department Institut de Recherche sur les Phénomènes Hors Equilibre Research Field Engineering Chemistry Physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 22 Sep 2025 - 23:59 (UTC) Type of...
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2 Sep 2025 Job Information Organisation/Company CNRS Department Écologie, systématique et évolution Research Field Physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 22 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per...
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26 Aug 2025 Job Information Organisation/Company CNRS Department Institut Charles Gerhardt Montpellier Research Field Chemistry » Physical chemistry Physics » Chemical physics Physics » Biophysics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 15 Sep 2025 -...
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The PhD work will take place in the framework of the ANR funded HENBoS project (2025 – 2029), which seeks to describe with unprecedented accuracy and scope massive black hole systems as cosmic accelerators
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. They present a strong spin-orbit coupling, a relatively long spin relaxation times, and an optical accessibly for spin generation and detection. The objective of the PhD is to explore the exciton and spin
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encapsidation. In parallel, the Nano-DMS-MaP method will be used to assess the impact of m6A on RNA structure. In a second part, the PhD student will study the impact of HIV-1 infection on the host cell's
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, IRCELYON's activities focus on sustainable development with major concerns for energy, environment and green chemistry. The PhD student will work in the C'Durable team: https://www.ircelyon.univ-lyon1.fr/team
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28 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'informatique de modélisation et d'optimisation des systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Country France Application Deadline 17 Sep 2025 -...
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accès privilégié à l'instrument THEMIS, ainsi que du temps machine alloué à l'équipe sur les calculateurs nationaux de haute performance (par exemple Jean Zay @ IDRIS, ADASTRA @ CINES) pour réaliser les
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by exploiting foundational machine-learning potentials such as MACE, SevenNet, or Orb-V3. The predictions will then be progressively refined and verified by DFT and, ultimately, tested experimentally