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program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas
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analysis, and detailed spatial bioinformatics. This will include cell-cell interaction analysis, spatial neighborhoods, and tissue schematics. They will be responsible for meeting with other lab members, PI
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Bioinformatics. Strong analytical skills and attention to detail, with the ability to critically evaluate research findings. Familiarity with data visualization techniques and tools is preferred. Excellent
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for a Postdoctoral Associate. The lab utilizes contemporary methods in molecular genetics, genomics, cell biology, biochemistry, bioinformatics and microbiology to answer basic and translational questions
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experimental procedures. Data preparation for oral presentations, grant applications and publication in professional journals. Implementation of bioinformatics approaches. Conformance to standards of responsible
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institutional policies for working with sensitive data. Minimum Qualifications Education Master’s degree or equivalent in economics, public policy, public health, statistics, biostatistics, bioinformatics, data
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multiple affiliations. Duke University is seeking a Research Statistician in the Department of Biostatistics & Bioinformatics (https://biostat.duke.edu/ ) within the School of Medicine. In 2024, Duke
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areas: microbiology techniques, mammalian cell culture, bioinformatics, mass spectrometry, molecular biology and/or next-generation sequencing techniques. Research Staff are expected to contribute
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multiple affiliations. Postdoctoral Associate – Biostatistics Duke University is seeking a successful postdoctoral associate in the Department of Biostatistics and Bioinformatics (www.biostat.duke.edu). Duke
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experiments. Data & Analysis: • Collaborate with data scientists to analyze host and microbial data using statistical, bioinformatic, or machine learning approaches. • Contribute to the integration of spatial