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analysis) as well as latent models to examine the various components of the exposome, and (iii) the application of models suited to the analysis of observational data to estimate associations between
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), Marseille, FR. pierre-henri.puech@univ-amu.fr For more information, please visit : https://schadoc.univ-amu.fr/en/projects/antagonism The Schadoc PhD program aims to attract talented early-stage researchers
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that capture the fundamental force-generating properties of muscle tissue. The candidate will acquire a unique combination of skills spanning single-nucleus transcriptomics data analysis, quantitative histology
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methods to VCP/p97 data). This is a joint PhD thesis between Sorbonne University and the University of Melbourne, with a mandatory one-year stay at the University of Melbourne (during the second year of
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Description This PhD project aims to develop advanced software solutions for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates
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Laboratoire INSERM UMR1311 Rouen Normandie Université | Rouen, Haute Normandie | France | 7 days ago
19 Apr 2026 Job Information Organisation/Company Laboratoire INSERM UMR1311 Rouen Normandie Université Research Field Biological sciences » Biology Medical sciences Researcher Profile Recognised
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17 Apr 2026 Job Information Organisation/Company Universite de Montpellier Department Human Resources Research Field Chemistry » Organic chemistry Researcher Profile First Stage Researcher (R1
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, narrative, and thematic analysis of interviews already conducted with Norman witnesses. He or she will contribute to the comparative analysis of the Belgian data from the Battle of the Bulge corpus, as
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the field. Perform quantitative analysis and agent-based modeling of behavior. Report, discuss, and present data to the team. The position is for 36 months. Laboratory work using virtual reality (VR
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matter at very low energies. The data consist of high-resolution pixelated images, enabling detailed characterization of energy deposits in silicon. Novel analysis techniques (clustering, signal/background