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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research will be theoretical and numerical. It will be performed in collaboration
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” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a
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physics is especially interesting due to the presence of exotic excitations, potentially non-Abelian. The TensQHE project aims to develop modern numerical tools based on tensor networks, within an open
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ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
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assemblies (microscopies, spectroscopies, DLS, etc.) - Static light scattering resolved in angle and wavelength on an available set-up - Comparison of experimental results with numerical simulations
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polaritonic waveguides and cavities, and will contribute to the theoretical (i.e. analytical) and numerical simulations of the GaN architectures in collaboration with the theory groups in the consortium. In
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magnetized plasmas -Expert in numerical simulation -Fluent in spoken, read, and written English Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7648-ANNBOU-001/Default.aspx Work
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dissipation processes driven by waves in the ocean The project involves numerical simulations of various atmospheric and oceanic conditions using large eddy simulations (LES), followed by parameter calibration
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machine learning tools. The postdoctoral fellow will contribute to various aspects of the project, such as: * developing new theoretical and numerical approaches for determining the thermodynamic and
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the numerical simulation group - Creation of microfluidic circuits -Preparation of red blood cell solutions from EFS blood -Endothelial cell culture -Take part to the soundibg rocket experiments with ESA