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-41 https://doi.org/10.1016/j.psep.2020.07.017 🎓 What you will gain • Strong expertise in advanced kinetic modeling • Hands-on experience with calorimetric instrumentation • Exposure to DFT and AI
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al. 2019] and point-force Lagrangian models, with advanced post-processings [Vegad2024]. This work will be carried out with the YALES2 high-performance platform. Where to apply Website https
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and with the 2AT team at Institut Pprime to develop resolvent-based modelling tools for turbulent jets in cases where the jet mean flow is three-dimensional. The researcher shall: - Develop a high-order
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IMT Atlantique, ULCO and Université de Rouen. In particular, the design of the models will be guided by results of the analysis of Wikipedia data obtained by other teams, and discussions with a
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. The main objective of the PhD project is to study the impact of auroral particle precipitation on Jupiter's atmospheric composition. The work will involve modeling the abundances of key chemical species in
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to complementary physical properties of thermal, combustion and detonation. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3346-NADMAA-156/Candidater.aspx Requirements Research
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aspects of Computer Science (models, languages, methodologies, algorithms) and address conceptual, technological, and societal challenges. The 22 research teams in LIG aim to increase diversity and dynamism
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modelling, both assisted by AI. The PhD candidate will have access to state-of-the-art research facilities and computational resources. He will be offered the opportunity to participate in in international
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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. To test this hypothesis, the candidate will apply methods that include magnetoencephalography (MEG), brain stimulation, neurofeedback, and computational modelling. The project includes a collaboration with