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in high content microscopy and image analysis programs. Familiarity preparing material for single-cell sequencing, comfort working with large data sets. Working knowledge of statistics, proficiency
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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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of qualitative and participatory data using appropriate approaches (e.g. reflexive thematic analysis), ensuring rigour, reflexivity, and alignment with project aims. To support the development and delivery of co
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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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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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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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-motivated. Strong oral/written communication skills. Preferred Qualifications: Previous experience with RNA-seq, ChIP-seq, scRNA-seq, and other sequencing data analysis is highly desired. Experience in
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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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, 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