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evaluate these developments using existing hardware components. - Contribute to the simulation of a high-granular calorimeter with Geant4 as well as its readout and trigger electronic chain. - Develop and
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deformation behaviors. This will be supported by numerical simulations developed by the LEM where nanoindentation simulations at the atomic scale will be performed by Molecular Dynamic (MD) as well as finite
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Innsbruck (J.Phys.Chem.A2021,125,7662−7669) in an existing machine. The successful candidate will be responsible for the theoretical design (SIMION simulations), mechanical design (SOLIDWORKS), and final
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improve this chain and derive dead fuel estimates, which will be integrated into forest fire spread simulations conducted by another postdoc at the Météopole. Both postdocs will collaborate closely. Since
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that perform process simulation, validation tests of the results and real operations will be performed. The successful candidate will be part of the Institute of Materials Science of Mulhouse (IS2M-UMR 7361
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-time Raschmodels - Perform simulation studies to assess the performance of the method - Develop open-source solutions to disseminate the method to the widest possible audience - Work data visualization
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to compute the predicted ZTs via first principles calculations. - Computer simulations: ML + DFT - Scripting (Python) - Analysis of the results + writing publications - The position is part of an ANR-DFG
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | about 1 month ago
optimise learning rules Process electrophysiological and behavioural datasets. Run numerical simulations to explore different learning time‑scales and environmental conditions. Work closely with
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, protein and lipid chromatography (FPLC, HPTLC), various spectrophotometers (UV-visible, CD, fluorimeters), and computers for molecular dynamics simulation. The IPMC institute includes various state
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Theory of Large-Scale Structure (EFTofLSS)—to include the effects of massive neutrinos and non-standard dark matter, validate theoretical predictions against simulated datasets, forecast expected