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collaboration, dedicated to the direct detection of dark matter. They will contribute to various activities including data taking, data analysis, and Monte Carlo simulations. The candidate will be involved in
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the associated nuclease(s). This project is based on the sequencing and analysis of the somatic and germline genomes of several species of nematodes of the genus Mesorhabditis. The postdoc will be responsible
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implement his/her own analysis techniques and approaches. The candidate must have solid experience of speech production in at least one of the following areas: (1) articulation (EMA, ultrasound, etc.), (2
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) - Construct mutant strains (gene inactivation/deletion) - Clone and express genes in Streptomyces/Kitasatospora/Escherichia coli - Participate in the analysis of mutant strains (LC or LC-MS analysis of culture
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communities to environmental stresses and the cascading effects on ecosystem functioning. - Setting up experiments - Ecophysiological measurements in the laboratory - Statistical analysis of collected data
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bioinformatic analysis would be a valuable asset. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7592-JULDUM-010/Default.aspx Work Location(s) Number of offers available1Company
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samples to establish a new cryofixation and cryosectioning method - Analysis of samples using Tof-SIMS and data processing - Interpretation and presentation of results with project partners The postdoctoral
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Jacek Jendrej. - Research work - Collaboration with Jacek Jendrej - Participation in seminars and conferences The recruited person will be part of the Functional Analysis team at IMJ-PRG (UMR 7586
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molecules • Measurement and analysis of photochromic properties (composition under irradiation, photokinetics) Self-sufficiency in these tasks are expected. PHOTOMIC project is supported by the ANR (Agence
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quality control. * Design and implement the end-to-end analysis pipeline: preprocessing, source reconstruction, depth-resolved (laminar) analyses, and beta burst detection/analysis; produce reusable, well