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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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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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clothing and its ability to build the specifications of functionalized textiles, integrating the constraints of existing military and technical textiles. For more than ten years, the world has experienced a
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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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of definitions, theorems and proofs. We would like to apply this to make the use of computer formalisation practical and current for mathematical research writing. Where to apply Website https://emploi.cnrs.fr
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on the University of Toulouse science campus, easily accessible by public transport, car, or bicycle. The CBI offers research teams an excellent international scientific and technological environment with innovative
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via thermodynamic power cycles. However, conventional expansion machines (turbines or volumetric devices) face significant limitations at low power scales: - Turbomachinery suffers from reduced
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qu'avec un.e autre doctorant.e et deux post-doctorant.e.s également recruté.e.s via JET2SB. Le.a doctorant.e fera donc partie d'un effort de recherche particulièrement dynamique. Dans le cadre du projet
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(with openness to learning others): Computational protein design or molecular modeling Protein biochemistry / structural biology Cell biology and receptor signaling Good communication skills in English
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train station or by car (parking available). Public transportation costs are partially covered. The challenge is to establish a novel reconstitution method for spliceosome from human cellular extracts