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signals is done a posteriori with system simulation with behavioral model and measurement; it is then difficult to refine the design with these results in the presence of realistic signals. The main
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hold a degree in engineering and/or a master's degree in Physics/Optics. The position requires strong knowledge in instrumentation and data analysis, good oral and written communication skills (French
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the contributions. Profile/Skills The applicant must hold a Master's degree in computer science (or equivalent, Bac+5) with a specialization in data science, data mining and/or machine learning. It would be
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of scienceYears of Research ExperienceNone Additional Information Additional comments The candidates will hold a Master in probability, and will have solid knowledge in stochastic analysis, in particular in
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waves (LW) in the plasma. The decay and coupling of these primary LWs generate electromagnetic (EM) waves at the plasma frequency ωp or its first harmonic 2ωp, which are detected by telescopes in
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the principal investigator of the CROSS experiment, spokesperson for the CUPID-Mo collaboration, and head of CUPID-France. The group is named ASSD (Astroparticle Solid State Detectors) belonging
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friendly refrigeration [1]. To do so, this PhD aims to develop original modeling methods, based on the development of Machine Learning tools, allowing for the description of complex molecular systems
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at the Laboratoire de Mécanique et d'Acoustique (LMA), a joint AMU-CNRS-Centrale Méditerranée research unit (UMR 7031). Its main areas of expertise are solid mechanics (structure, materials, interfaces) and acoustics
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the nature of intermediate states and photophysical processes upon photoexcitation leading to SF. Several main factors including energetic parameters (endothermic/exothermic processes) and strong/weak coupling
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - Master's degree in material sciences, physics or chemistry; - Knowledge of quantum theories, in particular density functional