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the other activities within the GOSS group and more broadly within QDLight, notably to benefit from the theoretical expertise required for the data analysis. This work takes place within the GOSS group
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at an unprecedented scale. Building existing infrastructures from, for example ODISSEI, the project centers around the analysis of population-scale datasets with advanced computational tools. By bringing together data
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in secure environments Background in medical image analysis (CT/MRI preferred) Knowledge of detection, segmentation, and model development methods Interest in multimodal or longitudinal clinical data
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techniques. ● Perform biochemical analysis through kinase assay, Western Blotting etc. Data analysis and participate in manuscript writing for publication; may assist in grant writing. ● Perform
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25 Mar 2026 Job Information Organisation/Company CNRS Department UMR-Institut de physique du globe de Paris Research Field Geosciences Astronomy Environmental science Researcher Profile Recognised
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complex biological data into mechanistic insights with direct relevance for therapeutic and diagnostic innovation. The laboratory is based at one of the world's leading medical universities and promotes
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and acquire spectral data Perform Raman spectral data analysis using machine learning algorithms Work with DiSTAP plant biology collaborators, training researchers in spectrosocpy Work with local
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Foundation Models, to the sPHENIX experiment Perform physics analysis using sPHENIX data Collaborate with physicists and computer scientists on publishing research findings Required Knowledge, Skills, and
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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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, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI