271 structures "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" Postdoctoral research jobs at CNRS in France
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; apply the developed methodology to complex heterostructures The postdoctoral researcher will be recruited within the Chemical Theory and Modelling team (http://www.quanthic.org ) of the Institute
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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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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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of Neural Networks" team studies the mechanisms of information integration in neural networks, particularly in motor control structures. The work will be performed under the supervision of Dr. Antoine Valera
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(www.femto-st.fr ). This team involves members of the OHMS (https://teams.femto-st.fr//equipe-ohms/ ) [Time-Frequency Department] and MOSAIC groups (https://teams.femto-st.fr/MOSAIC/en ) [Micro-Nano Sciences
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, access to computer cluster Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-212/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent
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Description The project aims to implement proton-detected fast MAS solid-state NMR methods to investigate the structure of viral membrane proteins and their interactions with nucleic acids. A central objective
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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
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University, Japan). Background: Mignerot et al. 2024 https://doi.org/10.7554/eLife.88253.2 Kanzaki et al. 2021 https://doi.org/10.1038/s41598-021-95863-1 Our team (http://ibv.unice.fr/research-team/braendle