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via protein crystallography. - Development of a pipeline for protein design with existing software. These includes software for fold generation, sequence generation and structure prediction, and should
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multidisciplinary institute, with about 300 people, is structured in 17 research teams gathered in 5 scientific departments which cover the whole chain of knowledge, from basic sciences (solid state physics
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of biomass, and the development of new methodologies for bond creation and structural analysis. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9168-GREDAN-007/Candidater.aspx Requirements
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coordination complexes. Preparation and optimization of new molecular or hybrid materials. Structural and physico-chemical characterization (e.g., NMR, UV-Vis, IR, Raman, diffraction, electrochemistry, magnetic
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The BE-SAFE (Multiscale correlation Between Structural
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of the fabricated structures. This position offers an excellent opportunity to develop expertise in high-precision silicon microfabrication within a multidisciplinary research project combining nanotechnology
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the evolutionary and comparative history of these three protein systems - Perform phylogenetic analyses on CBC enzymes - Analyze the evolution of genome structure in a microalgae population during an experimental
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from cells, and their structures will be determined by cryo-electron microscopy (cryo-EM) in Dr. Innis's team. The candidate will conduct research within G. Boël's team in the unit “Microbial Gene
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Project MAS: Model theory of algebraic structures. Main research topics: - Groups under generalized tameness assumptions. - Continuous logic and ergodic theory. - Algebraicity and transcendence in tame
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. The cosmology and astroparticle team (https://astrocosmolapth.com ) conducts research on cosmic large-scale structure, cosmic microwave and infrared backgrounds, cross-correlations between cosmological datasets