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University of Reims Champagne-Ardenne (URCA) | Reims, Champagne Ardenne | France | about 7 hours ago
(R1) Positions PhD Positions Country France Application Deadline 20 Oct 2025 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD is part of the future JET2SB
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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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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 7 days ago
tools for solving these problems. The goal of this PhD is to understand how these results could be integrated or inspire the designing process of the models for the deployment and the execution of Cloud
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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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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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, 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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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
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly