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the development of novel and innovative numerical techniques aiming at improving the integration between numerical simulations and geometric modelling and processing. Within the project «FLASh: Fast simulation
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this new hybrid network. Your code will directly enable the next generation of energy-efficient AI clusters. Project scope You will bridge the gap between custom optical hardware and standard AI software
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For both positions: Conduct innovative, independent research aligned with the lab's mission and the candidate's interests Contribute to the lab's open-source software, datasets, and benchmarks Mentor PhD and
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habitual control. It will then test how acute stress alters these processes, combining behavioral performance, physiological monitoring, movement-based phenotyping, and advanced statistical and computational