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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 17 days ago
of soil samples at controlled temperatures and water contents in order to establish petrophysical relationships, - Integrate the observations acquired into a plant hydraulics model (SUREAU) to simulate
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. Are you interested in tackling these challenges with cutting-edge AI sensing techniques? At the AISensing team we focus on AI-powered sensing technology, spanning large-scale AI models, simulation of next
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systems in the research project, including testing and troubleshooting. Implement and test machine learning models, which may involve data preprocessing, model training, and evaluation. Create and maintain
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companies' transitions towards a sustainable society. In research and education, we work in a broad spectrum. From basic mechanical engineering via modelling and simulation towards innovative product-service
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degree in lieu of two years of experience). Or, an equivalent combination of relevant education and/or experience. Preferred Qualifications: Exposure to simulation modeling or virtual clinical trial
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disease progression, care transitions, and quality of life. You will develop and refine a health-economic R-based simulation model, integrating surrogate outcomes from psychosocial and technology-based
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Simulations of Microstructure driven Mechanical properties from high Throughput and multiscale analysIS) project which is based on an effective collaboration between LEM3, ICA, PIMM and CEA. The PhD candidate
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limitations in both measurement and modelling techniques. Current in-process measurement methods are restricted to surface-only monitoring devices (e.g., cameras and pyrometers), which fail to capture
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professional and welcoming environment by modeling respect for peer educators’ diverse cultures, languages skills, and experiences. • Provide strategies on how to learn through study strategies (i.e. time
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is looking for a PhD Student (f/m/d) - Electrochemical swing adsorption of carbon dioxide. Your tasks Performing quantum mechanical and ML-based simulations to determine CO2 adsorption energies