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predictive models of immune responses. Develop advanced and innovative machine learning methodologies and analyze data. The postdoctoral researcher will join the groups of T. Mora and A. Walczak, whose
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core mechanics (game design) Model the BDI (Beliefs, Desires, Intentions) agent system to be learned by the AI Program the game application specifically for mobile devices Evaluate the game's
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, the proteolytic mechanisms involved in dental pulp inflammation, particularly in various 2D/3D models. The postdoctoral researcher will produce bioactive protein fragments and characterise their roles in dental
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core mechanics (game design) Model the BDI (Beliefs, Desires, Intentions) agent system to be learned by the AI Program the game application specifically for mobile devices Evaluate the game's
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models, convective theories and the analysis of observations - Good knowledge of the state of the art in cloud feedbacks and cloud-climate interactions - Skills in the writing of scientific articles and in
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Proficiency with the gastruloid model Proficiency in English (B1 level) Ability to work in a team while respecting individual differences Experience supervising PhD students Scientific curiosity and motivation
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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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the equipment, including the annual budget and the personal computer provided by the MARBEC laboratory for modelling and mapping work. - main mission: The researcher’s main role will be to model and integrate
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. This project aims at modeling the planetary systems and magnetic topologies of M dwarfs, monitored with the SPIRou near-infrared spectropolarimeter at the Canada-France-Hawaii Telescope (CFHT) since 2019 in
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biomass. The postdoctoral researcher at CERMAV will: • Characterize the topochemistry of the action of these enzyme mimics on model compounds and under real-world conditions. • Develop new functional