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position as Associate Senior Lecturer. Data-driven precision medicine and diagnostics includes computational analysis that integrates molecular and clinical data for precision medicine and diagnostics
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to analyze human gut microbiome data from large cohorts. Responsibilities Microbe-microbe and host microbe interaction analysis in multiple cohorts (n=2500) Evaluate differential fitness of specific strains in
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acquisition and data analysis infrastructure. Duties We are looking for a researcher with strong interest in developing, implementing and adjusting image analysis tools for quantitative analysis of microscopy
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to handle the massive amounts of data generated by novel high-throughput scMetaG methods. Here, the PhD student will develop novel bioinformatic methods and tools, which can be used to analyze massive amounts
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checks. Both parts are meant to support data-driven computational modeling for applications in epidemics. For a further description of the proposed project, see this document. The Department
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of Gothenburg promotes equal opportunities, equality and diversity. We are seeking a highly motivated Associate Researcher (Data Scientist) with a strong background in computational image analysis, particularly
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information: https://www.uu.se/en/department/pharmacy/infrastructure/udopp The Department of Pharmacy at Uppsala University offers an interdisciplinary environment at the forefront of pharmaceutical sciences
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Experience A PhD in bioinformatics, computational biology, systems biology, or a related field, or equivalent scientific expertise Proficiency in Python and R, particularly for data analysis, visualization
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bioinformatics and statistics, with experience in analysis of next-gen sequencing data and an interest in evolutionary genetics. Excellent communication skills, a high level of motivation and good spoken and
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the Center for the Human Past. Thee research environment is international, with English as the working language. For more information on the Human Evolution Program, visit: https://www.uu.se/en/department