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environmental changes and how these experiences shape lifestyles and consumption practices. In the context of the Anthropocene, rapid and profound environmental transformations are generating new forms
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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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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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. Preferred experience level is from Thesis+2 to Thesis+9, but all applications will be considered. Two years (1 year renewable). Field: Astrophysics; Data Processing and Model Fitting; Active Galactic Nuclei
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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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) About the Project Deep learning models, and in particular large language models (LLMs), have demonstrated remarkable capabilities but remain limited by their heavy computational requirements, lack
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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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applied knowledge in evolutionary genetics and epidemiology, particularly on antibioresistance evolution in bacterial or eukaryotic pathogens. Activities : - model the demographic and evolutionary responses
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time post-doc position starting in November-December 2025 in the A*MIDEX Chaire d'Excellence-funded project “Nonstationary Models of Biological Signals” (NOMOS), Principal Investigator Prof. Anna Dudek
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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