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intelligence, as it develops model learning methods based on optimization, together with predictive validation procedures designed to assess the generalization ability of models on new data. Current approaches
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covering discovery of new therapeutic mechanisms for complex diseases, early detection of pathologies, and comprehensive prevalence and prediction of pathologies, all based on the mechanistical understanding
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STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage
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interconnected and closely intertwined scientific themes. The first targets the development of hybrid algorithms combining multi-physics modelling of electronic components, predictive control and machine learning
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rate and will receive partial reimbursement for public transportation fares if necessary. Despite the spectacular success of AI-based approaches for protein structure prediction, reliable 3D modeling
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when these additional data provide a demonstrable scientific benefit. Particular attention will be given to the reliability of AI methods. Predictive performance will therefore be considered together
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Potentials (MLIP), machine learning (ML) predictive models and AI tools. Activities : Computer science implying ML and AI tools applied to material science Where to apply Website https://umontpellier.nous
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-residue contacts. Leverage state-of-the-art protein structure prediction tools, including AlphaFold3, ESMFold, and ESM3, to study antigen evolution and guide protein design. Work in a collaborative group
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modern industrial AI: moving from high-performing predictive systems toward trustworthy, auditable AI systems suitable to risk analysis for deployment in critical operational environments. While current AI
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simulations with advanced capabilities are essential to predict turbulent transport and plasma-wall interactions in realistic geometries. Objective: A 2-year postdoctoral position (renewable) is available