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, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
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Interatomic Potentials) code for ternary compounds with variable composition with crystal structure optimization algorithms (evolutionary, random, etc.); - Application of the CSP DFT/MLIP methodology to various
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includes both theoretical and experimental components. This fundamental research aims to open new perspectives on various topics: optimizing the stability of micro-mechanical systems, controlling the energy
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of neuronal and vascular responses; Contribute to the instrumental optimization of the imaging system (detector configuration, illumination control, multi-camera synchronization); Analyze and interpret
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morphology of splash-cups optimal for dispersal? The postdoc will characterise the efficiency of dispersal of a splash-cup as a function of its geometry, in terms of number of gemmae dispersed and reach of
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optimize deep learning models, trained for the reconstruction of events generated with this simulation framework and targeting their application on a distributed trigger system based on several processing
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Optimization of growth and validation of material
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and Optimization of the Systems (LIMOS) is a mixed research unit of Université Clermont Auvergne and CNRS. Its research activities are spread among three axes: models and algorithms to support decision
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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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-generation materials. To enable their industrial use, technologies enabling large-scale, low-cost production of NPs with optimized characteristics are essential. For this, FSP (flame spray pyrolysis) systems