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of particle-handling systems for the space environment, including the development of robust design criteria · Couple physics-based models and numerical simulations with optimization algorithms
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of steel compositions. The future potential of the model / numerical tool to replace costly trial- error method will also be evaluated. The Institute Jean Lamour (IJL) is a joint research unit of CNRS and
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 1 month ago
Job description:Postdoctoral Researcher (f/m/d) in Machine Learning and Surrogate Modeling for Geochemical Systems With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500
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the following domains : - Applied physics (insulating materials, thermal transfer, fluid mechanics, modeling...) - Instrumentation, basic electronics - Notions on simulation using numerical methods Additional
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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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quantum many-body theory with a focus on quantum impurity models (particularly Kondo model). Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research. We are looking for a Research Fellow to work on the thermal catalysis for CO2
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with other, independent temperature reconstructions, high-resolution palaeobotanical records, and vegetation modelling scenarios developed by project partners. This research will be essential
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excellence of NTU and attracting interest of more industrial collaborators. Key Responsibilities: Develop a new and robust numerical model with lattice Boltzmann method to simulate flow and heat transfer with
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04:59 AM UnitedKingdomTime) Position Description: Apply Position Description One or possibly two postdoctoral positions to work on the theory of generative AI—particularly diffusion models and their