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Field
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the Department of Medicine at Stanford University, in collaboration with the Advanced Informatics for Mental Health lab of Yair Bannett, MD, MS, in the Department of Pediatrics, is seeking a highly motivated
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in medical informatics, human-centered AI, and health technology. This position is based in DePaul University’s Medical Informatics Lab, affiliated with the Visual Informatics and Data Analytics (VIDA
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immunologic skin diseases. Candidates are welcome from various interrelated backgrounds, such as epidemiology, computer science, public health, health services research/health policy, and/or biostatistics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
Summary This position will work with UNC faculty on research related to market access and health informatics while also working with staff at AESARA. Minimum Education and Experience Requirements PharmD
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Job Description We are looking for a postdoc who can help establish a national infrastructure for the collection and sharing of biomedical health data in Denmark, named "The Biomedical Data
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Are you passionate about using data and AI to improve human health? Join us in tackling one of the biggest global health challenges of our time – antibiotic resistance. We are offering a three-year
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assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will
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scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke
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Post-Doctoral Research Associate Institute of Health & Neurodevelopment Location: University Main Campus Salary: £38,249 to £40,497 per annum Contract Type: Fixed Term (48 months) Basis: Full Time
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identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision