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atmospheric models on clusters and supercomputers. Experience with code parallelization, MPI (Message Passing Interface), and performance optimization for large-scale simulations using models such as WRF-Chem
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, Paris 16th. Its 150 researchers (including 75 permanent members from Paris-Dauphine, CNRS, or INRIA) work on a wide range of topics, including nonlinear analysis, probability, optimization, finance, etc
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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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tunnel junctions are already available in the laboratory. The work will therefore mainly focus on their experimental characterization, the optimization of RF interfaces, and the development of the full
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, differentiable optimization or neuromorphic computing • Ability to develop robust, documented and reusable scientific code • Motivation to work at the interface between theory, numerical simulation 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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. - 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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, they will be involved in: • the implementation, optimization, and operation of cryogenic devices and systems; • performing low-temperature experimental measurements; • the development and experimental
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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