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of freedom. In practice, this is achieved by approximating an (extremely large) high-dimensional tensor fully describing the system as the product of (much smaller) low-dimensional tensors which mainly encode
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over a very large area, using sputtering deposition techniques. The overall objective of the project is to define the parameters of this technology (integration of high-performance phase-change materials
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dedicated e-beam evaporator, multiple dilution fridges with ultrafast control electronics, and TWPA read-out lines, as well as cryogenics engineers. Our team is large and diverse, providing the necessary
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with national/international collaborators from the ODUST consortium. • Access to HPC resources (e.g., IDRIS) for large-scale simulations. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5299
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of computational biology, protein language models, structural biology, and immunology. 🎯 Main Missions Build and curate large-scale antigen sequence datasets for training and fine-tuning protein language models
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' resilience to influence and misinformation. The effectiveness of this intervention will be established through a rigorous impact evaluation prior to any large-scale implementation. The project aligns with
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experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in particular simulation-based inference), strong programming
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astroparticle physics, particle physics, and mathematical physics. The Astroparticle and Cosmology group (https://astrocosmolapth.com ) conducts research on cosmic large-scale structure, cosmic microwave and
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a