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imager based on a ,high-density array of transparent field effect transistors (GFET) for tracking in-vitro activity evolution in neural networks. The candidate will develop the complete chain, from device
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management appreciated. - Mastery of communication tools (website, social networks, policy briefs, press releases, etc.), office tools (MS Office, LibreOffice). - Writing skills - Ability to work in a team and
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The Dynamics of Biomolecular Networks (DYNABIO ) cluster of excellence at the Université Côte d’Azur (Nice, France) brings together 85 research teams from six local biology institutes: C3M (Centre
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this Ph.D. topic proposal: • The optimal approximation of 3D shapes using meshes is known to be a NP-hard problem. This means that finding the best possible mesh representation for a given shape, while
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Research FieldPhysics » Applied physicsEducation LevelMaster Degree or equivalent Skills/Qualifications Cryoporometry, NMR relaxation, pore network structure LanguagesENGLISHLevelGood
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infrastructure. - Practical tools: Guidelines, design charts, and decision-support frameworks for engineers and policymakers. - Policy recommendations: Insights to inform building codes and standards
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of several researchers working in the field of inverse problems due to their ability of combining variational inference approaches with the ability of neural networks to learn unknown posterior distributions
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of elements between the various departments involved, such as the RS2M department, which will develop a more network-focused platform. Ultimately, the ideal would be to link the various platforms and develop a
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Information System (GIS): working on and analyzing all the collected data on medieval buildings and their interactions with parcels and the street network, in order to understand their spatial integration
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activities, as well as the development and/or validation of the performance of various hydrogeological and hydrological calculation codes. You will bring innovative approaches to optimize and anticipate