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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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practically applied either as a full replacement of standard DNS or as a reduced-order model reproducing the main features of turbulent flows (energy spectra, scale-by-scale energy transfers, intermittency
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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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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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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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(pure and metal-doped) and carbon chains in supernova ejecta. • Apply molecular dynamics (MD) methods to simulate the formation of alumina agglomerates. • Use ab initio wave function methods to model
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projects related to gene therapy in mouse model for human inner ear defect. These projects will require strong interest in sensory systems with knowledge and training in neuroscience. This includes gene