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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
-seq, and DNase-seq. Candidates must also have experiences performing human genetic analyses of complex traits. Experience performing research in inflammatory bowel diseases or human diseases desired
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degree (PhD or equivalent) in the life sciences (e.g. Biology, Molecular Biology, Biomedicine, (Bio-) Chemistry or similar) Strong interest in human genetics, bioinformatics, research and development in a
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for Human Genetics, Oxford Global Health, and the NIHR Oxford Biomedical Research Centre. To be considered, you will hold a PhD/DPhil in bioethics, medical ethics, or other subject relevant to infectious
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
pathways amenable to pharmacologic targeting. The aim is to better understand the clinical relevance of cancer stem cells and the interaction with the tumor microenvironment and underlying genetic driver
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inference beyond human data and across many species, as part of a project focusing on predictive plant breeding. You will collaborate with an international team across the Universities of Edinburgh, Oxford
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potential of genetic discovery. We have access to extensive biosample collections and use advanced omics technologies and genetic-epidemiological methods on human study populations to identify molecular
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scientific discoveries to improve human health locally and around the globe. Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more than 6,000 staff, the Duke
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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scientific discoveries to improve human health locally and around the globe. Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more than 6,000 staff, the Duke
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-of-the-art genealogy-based statistical inference beyond human data and across many species, as part of a project focusing on predictive plant breeding. You will collaborate with an international team across