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areas in and outside Duke University. Preferred qualifications: • PhD (completed in the last 1-3 years or PhD candidate) in a quantitative discipline, including Computational Biology, Bioinformatics
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regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field
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vivo culture. You will also investigate cGAS-STING signalling, regulation at the endoplasmic reticulum, and T cell phenotypes and trafficking. A key aspect of the role includes bioinformatic analysis
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cytometry, scRNA-sequencing, bioinformatics, and confocal microscopy; develops, adopts and implements new laboratory methods; performs routine procedures on lab animals including surgical procedures and/or
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of Molecular Medicine. Your competences You have academic qualifications at PhD level, for example, in computational statistics, bioinformatics, data science, computer science, or similar areas. In addition
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of cardiometabolic diseases Leveraging biochemical knowledge and databases (e.g. REACTOME) to model and interpret multi-omics data and complex phenotypes Combining genetics and structural bioinformatics to understand
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future decisions, practices, and social dynamics. The goal of this position is to cross-train an individual with a traditional genomics/ bioinformatics background in ancient DNA, community engagement, and
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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer Science
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on aging Engage in manuscript writing, grant preparation, and scientific dissemination Actively pursue external funding opportunities Requirements: PhD in Molecular Biology, Bioinformatics, Evolutionary
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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer Science