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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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response to climate forcings for different past climates. · Perform and analyze global model simulations. · Collaborate with IPSL Earth System model developers to ensure consistent integration
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the magnetospheric and planetary orbiters of BepiColombo, and comparing with numerical simulations, the project aims to provide completely new and critical insights into Mercury's magnetospheric ion dynamics. 1
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dynamics processes into the IPSL Earth System model. · Participate in the scientific exploitation of simulations performed with ORCHIDEE v4. · Collaborate with ARCHIVES project partners to ensure coordinated
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The main objective of the project is to develop an instrument model to predict
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the framework of the project. Qualifications and Team : We seek a researcher with demonstrated experience in perturbative modeling of LSS (in particular biased tracers of dark matter), analysis of simulated
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Job related to staff position within a Research Infrastructure? No Offer Description Development of theoretical models to describe the collective migration of immune cells Development of models
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26 Jan 2026 Job Information Organisation/Company CNRS Department Modèles et simulations pour l'Architecture et le Patrimoine Research Field Geography Architecture Sociology Researcher Profile First
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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize
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matter gravity simulators, enabling the identification of exotic properties of relativistic materials. Use of various theoretical methods to study the effects of field theory properties in curved spacetime