62 algorithm-development-"Multiple"-"Prof"-"Prof"-"UCL" Postdoctoral positions at CNRS in France
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new results with previous results. - Prepare the datasets for publication in the form of scientific publications and data papers. • Promote the results: - Organize working meetings and seminars with
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systems, specifically air-sea interactions in the ocean. The primary objective is to develop a consistent and well-calibrated mixed-layer-wave parameterization to capture turbulent kinetic energy (TKE) and
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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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strong interest in developing new, rapid, and efficient methods for protein functionalization with CS, as a complement to current enzymatic or metabolic engineering approaches, which are generally limited
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postdoctoral research topic is part of the ANR BiBOP project, Bi-Based nanOmaterials for Photocatalysis, which aims to develop thin layers of bismuth oxyfluorides, which are interesting materials
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project team that includes doctoral students and technical staff. The main objective of this postdoc position is (1) to develop theoretical modelling approaches (bioenergetics, thermodynamics, ecological
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physics is especially interesting due to the presence of exotic excitations, potentially non-Abelian. The TensQHE project aims to develop modern numerical tools based on tensor networks, within an open
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will then be prepared and tested by our collaborator in different types of relevant cells. - Preparation and validation of gene libraries. The recruited person will have to design and prepare DNA
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around ten photons in this way—a key capability for the next generation of quantum processors that we are developing in collaboration with the startup Quandela, within the joint laboratory between C2N and
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simulation software as well as analytical calculations developed by the postdoc. Successful results will be used to implement proof-of-concept neuromorphic accelerators in collaboration with international