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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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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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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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The postdoctoral fellow will participate in the PostGenAI@Paris AI Cluster (ANR) project at Sorbonne University, and more specifically in the "AI-Augmented Multiscale Modeling for Energy Storage" sub-project, whose
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familiarity with the desperation threshold model of decision making. Where to apply E-mail daniel.nettle@ens.psl.eu Requirements Research FieldEconomicsEducation LevelPhD or equivalent Skills/Qualifications PhD
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to specialize the memory management of several applications, including virtual machines. Running memory management policies in user space opens up new opportunities, particularly the integration of AI models
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porous media (imbibition, wetting, flow, etc.). The approach will be essentially experimental, combining model debinding tests on various specimens with characterizations. • Determine the main mechanisms
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of physics with other disciplines, in particular life sciences and environmental sciences, mechanics and applied mathematics. The laboratory, located on the Saint-Martin d'Hères campus near Grenoble, has 100
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modeling), and stem cell biology (reprogramming and differentiation) are paving the way to new concepts that will undoubtedly improve skeletal regenerative strategies. Our strong and recognized expertise
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for biomarkers in 7T images. - Development of artificial intelligence algorithms and models for the processing and analysis of MRI images/spectra, focusing on the detection of tumor tissue and the quantification