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self-supervised learning model, -Evaluating model performance using both simulations and experimental data, -Transitioning from a task-specific model to a foundation model, -Benchmarking results against
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optimize deep learning models, trained for the reconstruction of events generated with this simulation framework and targeting their application on a distributed trigger system based on several processing
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Modelling the oil market: A first output of this project
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Team : We seek a researcher with demonstrated experience in perturbative modeling of LSS (in particular biased tracers of dark matter), analysis of simulated datasets, and strong programming in Python
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of balancing selection is. In this context, we have launched the BalanSe ANR to better understand the importance of balancing selection in non-model organisms. This project will rely on a combination of
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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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understanding its internal structure. Interpreting these geophysical data to model planetary structure and dynamics depends on understanding the physical properties of materials under relevant pressure and
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charged GAGs which, when combined with collagen, produce an osmotic effect. The fluid-structure interaction will be modelled as a homogenised continuous medium within the framework of poromechanics, while
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experiments on model aeronautical fuels to measure the products formed in this process and will develop analytical methods to monitor the kinetics. Main activities: - Bibliographic research, - experimental
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), whose objective is to extend the HLA-Epicheck model, originally developed within the framework of a PhD thesis, and to implement new deep learning approaches to assess donor–recipient compatibility in