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, Desmaison et al., Adv Sci 2026, DOI: 10.1002/advs.202522243; Caron et al., BiorXiv 2026, DOI: 10.64898/2026.03.17.712317). The postdoc will be supervised by Dr. Giulia Bertolin, CRCN CNRS, and will
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teams involved in the project. - Location: the postdoc project will be mainly located at 3SR Lab, a solid mechanics research lab of the CNRS and the Univ. Grenoble Alpes (Grenoble, France, https
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convection or high-performance computing would be an advantage. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7329-VALMER-100/Default.aspx Work Location(s) Number of offers
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoc will participate in the RAMHO project, whose 2026–2028
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for a High-Performance Computing fitting framework. ·Major contributions to sensitivity studies for DUNE's main analysis, the long baseline oscillation analysis (determination of the neutrino mass
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recruited within ADACSI, offering co-supervision opportunities. The positions provide access to CNRS/LAPTh computing resources and generous travel support and, as an MIAI-funded chair, connect the
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used in combination with state of the art approaches for computing Gibbs free energies, such as thermodynamics integration or umbrella sampling. The atomic scale approach will also allow to obtain two
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frameworks such as JAX or PyTorch would be an advantage, as would experience with tools for cosmological simulation, Bayesian sampling or high-performance computing. Strong skills in Python programming and
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also benefit from the computational expertise and high-performance computing resources available within the host team. At the national level, the project is embedded in the collaborative ANR
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experience in designing and conducting experiments with human participants, as well as acquiring and analysing MEG and/or EEG data, is essential. • Excellent command of Python for scientific computing and