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algorithms for molecular graphs, 3D structures, and spectral signals. Train and evaluate multimodal foundation models on high-performance computing clusters (Jean Zay, CRIAN, LPC). Collaborate with domain
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with state-of-the-art infrastructure, including a Tier-3 high-performance computing (HPC) cluster and access to regional mesocenters, enabling cutting-edge research in atomic-scale simulations and
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of ultra-diffuse galaxies; extragalactic tidal phenomena; intra-cluster diffuse light; and galactic cirrus clouds. These measurements will also be compared with other deep-field photometric data (with
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JET2SB team (PIs, postdocs and PhDs) from the Laboratoire de Physique des Plasmas (LPP, Paris, France) and the THEMIS team at the French-Spanish Laboratory for Astrophysics in Canarias (FSLAC, La Laguna
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platforms and our local CPU and GPU clusters; implementing Python tools for automating CSP/DFT calculations; - Participation in the scientific activities of the Applied Quantum Chemistry group (IC2MP) and the
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virtual chemical library screening pipeline on a computing cluster (4,000 cores). - Develop protocols for aggregating, processing and filtering the data resulting from the pipeline. - Design an interactive
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criteria The candidate should hold a PhD in computational chemistry, materials science, or a closely related field, with strong experience in DFT calculations (preferably periodic systems) and familiarity