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, acceleration, algorithms for optimal transport or generative AI). A good knowledge of Python programming (for AI, optimization) is highly desirable. Website for additional job details https://emploi.cnrs.fr
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journals and presentations at conferences. - Collaboration with interdisciplinary research teams as part of the CERTAINTY project. - Optimization and documentation of modeling configurations for future
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characterization of the wireless link (power + sensing) - Design and optimization of sensor-resonator coupling - Participation in in vitro and ex vivo testing We are seeking highly motivated researchers to join our
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entanglement using ultrashort charge wavepackets • Exploring the frontiers of THz quantum nanoelectronics as well as in the nanofabrication of advanced quantum devices which includes • Developing and optimizing
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optimize hardware neural networks made of approximately one hundred magnetic tunnel junctions, with radio-frequency inputs, in order to classify RF signals directly in the physical domain. Chains of magnetic
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. - development of supported catalysts; - ink formulation and preparation of catalyst layers; - fabrication of optimized membrane-electrode assemblies and their testing in an electrolysis cell (performance and
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motifs; - establish, optimize, and apply quantitative protein-interaction assays; - perform mammalian cell culture, molecular cloning, mutational analysis, recombinant protein work, and fluorescence
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interaction of magnetic skyrmions in nanodevices. The second objective will be to develop an inverse-design code combining micromagnetic simulations and machine learning methods, in order to optimize skyrmionic
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trajectories within the virtual environment; in complementary laboratory studies: eye-tracking, body and facial tracking) in articulation with post-experience verbalizations coded according to the taxonomic grid
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, CeRh2Si2, TbB4 etc.) near metamagnetic transitions and unconventional superconducting phases. Within step 1, magnetization probes will be developed, tested and compared before choosing the most optimal