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, including variational auto-encoders, generative adversarial networks (GANs) and more recently probabilistic diffusion denoising models. On the other hand the CRIStAL laboratory has a strong expertise in
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will use the poroelasticity models developed in the M3DISIM team
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and SQUID), EEG and Eye Tracker data. - Analysis of the data collected, especially MEEG and behaviorals. - Compare the alignment between MEEG data, behavioral data, and acustic and semantic models
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molecular modeling and dynamics. Modeling and simulation of membrane systems. Writing of results for publication. Data handling. -The "Institut de Biologie Physico-Chimique", in association with the CNRS
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able to perform both analytical and numerical calculations. Experience with analytical or numerical modelling of active systems is desired. Experience with continuum/ hydrodynamic theories
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models that account for the dynamics of the actin polymer population in the cell cortex. The analysis will be carried out using probability theory and simulation tools, and will be based on a real effort
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. Ca in Ol1), and the use of dihedral angles in solidified plutonic rocks. A key objective will be to improve current approaches to quantify those cooling rates by providing 1/ a finite difference model
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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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molecular dynamics simulations with LAMMPS, and data curation. Scientific context: Our current understanding of polymer viscoelasticity is founded on single-chain models [2]. Such models draw on the fact
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to clarify how curvature-penalised growth can robustly encode homeostatic states of stress and size. Drosophila wing disc experiment-driven modelling: Experiments performed in S. Harmansa's group in Exeter