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foundations and principles of Machine Learning, Linear Algebra (vectorial and matricial operations, optimization), with a particular focus on Neural Networks (pytorch), 3) problem solving skills, 4) familiarity
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devices are designed to operate at specific near-infrared wavelengths while remaining minimally perturbative across the rest of the optical spectrum. A key scientific challenge of the project is to achieve
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of purified argon and read out by 200,000 silicon photomultipliers. This will allow to have the world leading discovery potential for WIMPs after few years of data taking. The actual work is dedicated
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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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dislocation dynamics (DDD) code from TRIDIS, NUMODIS, or OpenDIS, based on the candidate's programming skills (Fortran, C++, or C). - Validate the DDD-FFT coupling required to optimize calculations
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• Ability to work within a French research environment • Experience in optimizing protocols or developing new protocols • Proficiency with approaches and experimental design for mesocosm studies
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devices are designed to operate at specific near-infrared wavelengths while remaining minimally perturbative across the rest of the optical spectrum. A key scientific challenge of the project is to achieve
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collaboration with the University of Zurich. Mission The researcher will integrate, optimize, and stabilize the RNb-NeuS neural 3D reconstruction method within the AliceVision software architecture, enabling
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multi-layer systems using a strip casting process. The project is divided into 2 tasks, as follows: 1) Development of an optimum casting formulation based on the starting powder supplied. Optimization
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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 The candidate will work, within UMR CNRS 5801 LCTS