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for high-dimensional learning and generative modeling. Research interests span representation learning, statistical inference, privacy, and generative models with applications in physics, audio, vision, and
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primarily focus on one or more of these parts. The successful candidate will develop numerical tools and/or theoretical models to model and simulate the behavior of a group of agents capable of chemical
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and physics, Materials Mechanics, Geotechnics, and Civil Engineering Proven skills in laboratory and/or field experimentation Potential aptitude in numerical modeling Ability to work in a team and in
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vivo cancer models. The candidate will be expected to: Determine the effects of the identified VFs using various in vitro and in vivo assays and investigate the underlying mechanisms Contribute
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will benefit from the various skills in tropical ecology, vegetation modelling, and remote sensing of a large and enthusiastic team of collaborators. Where to apply Website https://emploi.cnrs.fr
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Research FieldPhysicsYears of Research ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria Creation of models Analytical calculations Numerical
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conjugates into fluorescent nanostructures, which growth results from a combination of dynamic covalent and supramolecular processes, moving from solution studies to model lipid membranes, then live cells
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using advanced statistical methods. The goal is to improve our understanding of wave-driven turbulence processes, which are crucial for accurate climate modeling The Institute of Environmental Geosciences
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to assess performance in hypoxia models and radiotherapy contexts. Participate in publications, patents, and start-up development activities. The work will take place within the framework of the Project
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, immunoblotting) and of phenotypic characterization of animal models Where to apply E-mail laurent.lecam@inserm.fr Requirements Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Skills