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Information Eligibility criteria The candidate must: - Hold a PhD in microbiology or cell biology - Have significant experience in fluorescence microscopy: time-lapse, dynamic imaging, multi-channel, etc
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PhD on 2D quantum photonics : towards neuromorphic applications with 2D ferroelectrics materials M/F
Infrastructure? No Offer Description The 2D+ Research Group at CRHEA, located on the French Riviera near Nice, France, is seeking a highly motivated and talented PhD candidate to join our cutting-edge research in
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to investigate ultrafast photoionization dynamics in a diverse range of systems, from atoms and small molecules to complex biomolecules such as peptides and proteins. This doctoral project focuses on exploring
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will work in the
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arrest at other stages of meiosis. The objective of the PhD project is to understand the role of cyclin B3 during meiosis and early embryonic divisions in the sea squirt Phallusia mammillata and the
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD thesis project will be hosted
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27 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire de Géographie Physique : Environnements Quaternaires et Actuels Research Field Environmental science Political sciences
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Contexte : Situation de l'emploi et conditions : The PhD project is associated with the Paris RÉUSS-I project: inteGREEN, funded by ANR France 2030 PEPR Ville Durable et Bâtiment Innovant (VDBI). inteGREEN
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potential. The aim of the PhD project is to discover new microproteins involved in the regulation of animal reproduction and fertility, using Drosophila as a model system. By integrating genetic, proteomic
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. To complete this multi-scale approach, we have more recently been integrating the dynamics of the system. The aim of this project is to build a machine-learning ternary interatomic potential for the W-Cu-H