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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
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: ANR JCJC “NanoG4V” : ANR-24-CE51-7558 Expected Outcomes By the end of the PhD, the candidate is expected to: • Acquire solid expertise in the synthesis and advanced characterization of quantum-grade
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the job funded 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 At ICMUB, PhD
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, engineering, bioinformatics, machine learning, artificial intelligence) to support minimally invasive and targeted preventive and predictive medicine capable of limiting age-related functional disorders
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correlations or more innovative methods of multivariate analysis and we anticipate here an opportunity of using machine learning that could help in predicting properties or classifying sources. A last step will
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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 project builds on the expertise of the OASiS
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30 Aug 2025 Job Information Organisation/Company CNRS Department Institut des Biomolécules Max Mousseron Research Field Pharmacological sciences Engineering Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 19 Sep 2025 - 23:59 (UTC) Type of...
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28 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire de Biologie et Modélisation de la Cellule Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 17 Sep 2025 - 23:59 (UTC) Type of...
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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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, organization and structural order, as well as the EE transport dimensionality (2D versus 3D) to push beyond state-of-the-art energy transport lengths in synthetic LH systems. In this context we propose a PhD