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8 Mar 2025 Job Information Organisation/Company CNRS Department Laboratoire d'énergétique moléculaire et macroscopique, combustion Research Field Engineering Chemistry Physics Researcher Profile
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be hired) studying real time modifications using pump probe experiments, but also with a postdoc (to be hired) carrying out atomistic simulations. Partners: This thesis will take place between two main
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. The project is led by Heiko Schütt and will employ one PostDoc and one PhD student. About the role... You will develop new Bayesian methods to compare deep neural network and other artificial representations
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conditions and validate the developed models. Candidate Profile: We are looking for a candidate with a background in numerical simulation, who is also interested in learning experimental electrochemistry
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projects related to magnonics, spintronics and magneto-acoustics. We are looking for a candidate with a strong motivation for experimental work, although simple modelling and numerical simulations are also
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more (for an overview of these technologies, see http://behaverse.org/ ). Your role in this team will be to develop computational models and data analysis code to process large, multimodal behavioral
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, homogenisation models reduce their accuracy. Consequently, numerical simulations using a DEM-CFD coupling would allow a local analysis of the granular bed and could give the opportunity to estimate the influence
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the umbrella term “Generative Artificial Intelligence” (Gen-AI), and are being quickly adopted by the general public, the most notable examples being conversational models such as ChatGPT, text-to-image models
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development of thermo-hydro-mechanical and chemical models (THMC) to simulate the circulation of fluids and their interaction with the surrounding rocks to reconstruct the concentration processes of metals
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enable the fast and reliable computation of bone mechanical characteristics. Finite element (FE) modelling is an engineering tool for structural analysis that has been used for many years to assess