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structures but also free energies. The work sits at the interface of statistical mechanics, molecular simulation, and deep generative modeling, and is embedded in SIMPLAIX, a research initiative on multiscale
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Publications in relevant research areas Open-source software contributions Experience with: Foundation Models Large Language Models LLM Fine-Tuning Agentic AI Systems Diffusion Models Scientific Simulation
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Polytechnique de Toulouse (INPT). The PhD student will be part of a group of largely modelling PhD students all trying to make computational fluid dynamics modelling more sustainable in a comprehensive sense
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Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimizing decentralized, integrated energy systems. These systems are characterized by the high spatial and
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on RFSoCs or software-defined radios. ▪ Conducting real-world experiments to investigate deviations between theoretical models, software simulations, channel emulations, and hardware implementations
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patient trajectories, combining large language models, semantic harmonization, and transformer-based temporal modeling. You will also contribute to the simulation-based evaluation of the resulting decision
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(IAS-2), we employ theory, modeling, and simulation to study and understand the structure, self-assembly, and dynamics of complex fluids, active soft matter, and living matter - on the basis of physical
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numerical model simulating wood formation. Position: Doctoral candidate (m/f/d) in the field of tree growth and wood physiology, 75%, available from March 2027 Your Profile Completed master studies in
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solvable models) alongside large-scale numerical simulations on high-performance computing facilities Characterize the transitions that govern quantum information protection, from encoding and decoding
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and strong interest in programing, modeling, and computer simulations. Knowledge in statistical mechanics, active and living matter. High degree of independence and commitment. Very good command