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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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use numerical models to interpret and predict mechanical behavior. - Carry out a cross-analysis of experimental, microstructural, and numerical results. - Disseminate scientific results (publications
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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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Intelligence Structure Prediction. Annual Review of Virology, 13. doi: 10.1146/annurev-virology-100424-122154 Ito et al. (2025) A protein language model for exploring viral fitness landscapes. Nature
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generation, targeted atomistic simulations, structural descriptor extraction, and predictive models. The work will aim to establish links between local pore geometry, structural disorder, sodium adsorption
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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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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
observation-driven paradigms to develop and learn novel representations of the coupled ocean-atmosphere dynamics ocean models. For accurate climatic predictions, it is essential to have plausible forecasts
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the growth of carbon chains. • Collaborate with astrochemists and observers to validate theoretical predictions. This position will focus on modeling dust production in supernova explosions, a key process for
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IRCM - Cancer Research Institute of Montpellier | Montpellier, Languedoc Roussillon | France | 3 months ago
fusion, and medical image analysis methods to improve cancer prognosis prediction in an objective and interpretable way. Our work centers on the computational treatment of medical data in oncology, with a