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Field
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to develop a new generation of fluorescence microscopy methods aimed at overcoming current limitations in acquisition time for single-molecule imaging. The project explores original strategies for temporal
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hyperparameters. Your main responsibilities will be: To carry out research missions in the field of Optimization for Machine Learning To ensure supervision and tutoring missions To contribute to the reputation
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HTML user interface for visualising the final data resulting from the screening. - Contribute to the development of an original method for searching for pharmacophores based on raw data from virtual
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has state-of-the-art scientific equipment, from synthesis to characterisation of molecular materials Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5031-CORAME0-053/Candidater.aspx
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, using the ModLoc approach developed by the group (Nature Photonics, 2021). A key aspect of the project will be the implementation of an original detection strategy based on oblique plane re-imaging
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single cell cycle round. This points to a yet-to-be-explored original and divergent cell cycle architecture where conventional rules likely do not apply. We study different aspects of the cell cycle
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research centre dedicated to understanding normal and pathological brain function and developing new diagnostic and therapeutic approaches. Website: https://neurosciences.univ-grenoble-alpes.fr You will be
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closely with other post-docs and researchers involved in the DEEP-C project. • Dissemination: Publish research findings in scientific journals and present results at conferences. Supervisor's team Main
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crystal structures and compositions of new (meta)stable open-structured silicides under HP-HT conditions as well as their P-T stability or synthesis domains. - Main task 1: the candidate will be one of tha
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approach, Timelapse-Patch-Seq (TiPS), combining electrophysiology, 3D imaging and transcriptomics at the level of individual synapses. Main tasks Design and conduct a postdoctoral research project on long