148 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" Postdoctoral positions in France
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- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université de Caen Normandie
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- École Normale Supéireure
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with advanced microscopy techniques.At the core of this platform is the **SOLANO miniaturized hexapod robot**, developed by the industrial partner Symétrie, which enables submicron-resolution, multi
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the ground. Originally developed for astronomy—where it has transformed observations of black holes, exoplanets, and asteroids—AO now plays a key role in Free Space Optical communications (stabilizing laser
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Systems, Environments and Dynamics" (SEDS) team, which is recognized for its expertise in paleoclimatic evolution and its interactions with sedimentary systems. The team has hosted several projects funded
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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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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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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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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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) to develop theoretical modelling approaches (bioenergetics, thermodynamics, ecological modelling, individual-based modelling) to investigate the activity and dormancy of microbial communities in extreme
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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