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Experience with the analysis of large-scale genomic data Demonstrated ability to summarize scientific findings in the form of written manuscripts and oral presentations Desired Qualifications: Interest in
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques
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interpret large complex data sets, such as genome sequences, microarray gene expression studies, human genetic studies, model organism studies, and to communicate data in a clear, concise manner. Expertise in
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qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information, gender
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research on helminth parasites, to assist in clinical trials for river blindness treatment, and to manage large data sets. The successful applicant will have experience in data science and in infectious
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a large group of clinical pediatric physicians and an accredited Pediatric Emergency Medicine (PEM) fellowship, cares for approximately 50,000 patients per year in a state-of-the-art Emergency
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, or receiving experimental therapies as part of large clinical trials), general endoscopy (upper endoscopy, enteroscopy, colonoscopy, fecal microbiota transplantation, and routine endoscopic interventions), and
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. This research is accomplished mainly through large-scale collection of fish stomachs aboard research vessels, the subsequent stomach analysis in the lab utilizing dissecting microscopes and knowledge of marine
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Information School (iSchool) is accepting applications for a tenure-track faculty position at the Assistant Professor level starting September 1, 2026. The Information School is an interdisciplinary faculty
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exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website . Required Qualifications: Completed PhD in biomedical engineering, electrical engineering