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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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HUIBERTS. Full proficiency in spoken and written English will be expected. This position is funded by the ANR JCJC grant Towards Testable Theories of Linear Programming. Laboratory of Informatics, Modelling
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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
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collaboration with Michelin, is to develop surrogate models capable of rapidly approximating the simulator's results while accounting for uncertainty. Particular attention will be paid to the model's lightness
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combines multimodal neuroimaging with computational modeling to characterize the neural mechanisms underlying human social decision making. The focus of this project will be to unravel the neurocomputational
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. To achieve our objectives, we will use cutting-edge technologies (CITE-seq, RNA-seq, Ribo-seq) and combine analysis in readily available relevant cellular models of cancer-experienced T cells, syngeneic mouse
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predictive modelling Public policy evaluation Management and analysis of survey data Software proficiency Statistical and econometric packages such as Stata, R, or Python GIS software (QGIS, ArcGIS
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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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evaluation of algorithms for: perception in robotics; sensor based control and navigation ; interactive mobile manipulation; multi-sensor data modelling and fusion. This job offer takes place within