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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing
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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database
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implemented using a lens doublet that introduces a tunable radial delay. A more advanced, programmable method would be to use a large-aperture spatial light modulator (SLM) to impose tailored spectral phase and
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, the amplitude of its oscillations, which are driven by collisions with residual air molecules in the vacuum chamber, must be reduced. This cooling can be achieved using optical methods by monitoring
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scaled up to industrial production. - Development of purification and separation methods - Structural and textural characterization of porous materials - Performance measurements in gas separation tests
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post-doctoral researcher will document her/his work, publish it and present it in international conferences. The main activities will be: • Develop the simulation and digitization software for the LHCb
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join the "Biomolecules, Syntheses, and Methods" team, led by Dr. V. Bizet, under the supervision of Dr. N. Blanchard and Dr. V. Bizet. The BSM team consists of 4 permanent members and 6 PhD students and
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emulator of sea ice dynamics, trained using high-fidelity numerical simulations, (ii) variational data assimilation methods, and (iii) a simplified representation of physical processes in the atmospheric
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reaction. The researcher will: - Prepare Fischer-Tropsch catalysts; - Characterize catalysts using a combination of physicochemical methods (XRD, FTIR, TPR, XPS, imaging); - Conduct Fischer-Tropsch reactions
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Antoine Marques Mourato at the Naval Academy in Brest, Anne-Lise Marchand and Paola Melani at the Air Force Academy in Salon-de-Provence, all of whom hold PhDs in social and/or cognitive psychology