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very large datasets of epidemic indicators, such as case surveillance data, cellular phone data, and mobility patterns. Qualifications: PhD in a quantitative field such as mathematics, network science
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bioinformatics with at least one scripting language (R, python, bash) and expertise in high-throughput sequencing (ideally, including long-read sequencing) data analysis and statistical skills. Excellent written
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, breeding, genotyping, weaning, and general care, cell dissociations, cell culture, mouse surgery, mouse behavior, chemical and molecular assays, PCR, and RNA-sequencing. Contribute to data analysis and
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soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps will be highly rated in the selection process. The project also
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the PhD Students to: - Perform the analytical determinations for the different models, including sample preparation, and analysis of various lipid compounds, mineral elements and stable isotopes
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will include coordinating multiple aspects of the project, refining working hypotheses in light of new data, and contributing ideas for new research directions. The post-holder will be encouraged
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• PhD in environmental sciences, chemistry, biogeochemistry, hydrology, or a related field • Experience in environmental contaminant analysis • Strong data analysis and interpretation skills Preferred
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fellow in this lab will develop proficiency with advanced techniques in the structural and functional analysis of membrane protein complexes involved in neuronal signaling and signal transduction. For more
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6 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Innovation Moléculaire et Applications Research Field Chemistry Environmental science Researcher Profile Recognised
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. We guarantee access to top-notch instrumentation and well-equipped laboratories. Responsibilities 1. Sample preparation 2. Measurements (DLS, FCS, Quantitative Imaging) 3. Data analysis 4. Reporting