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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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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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collaborates with other fields such as chemistry, computer science, engineering, linguistics, mathematics, medicine and allied disciplines, philosophy, physics, and psychology. The Department of Neuroscience is
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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
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into an antifungal drug target. The Postdoctoral Scholar will be specifically engaged in these ongoing studies. This work is funded by an ongoing grant from the National Institutes of Health as well as generous funds
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
, cultural, recreation and professional opportunities that span the campus and community. Primary Purpose of Organizational Unit Our mission is to improve the health and well-being of North Carolinians and
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(i.e. Computational Biology, Computer Science, Bioinformatics, Biophysics, or related discipline).; possess a strong publication record with one or more first-author research publications/pre-prints in
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PostDoctoral Research Associate (x2) College of Engineering & Applied Science Department of Computer Science Elevate Your Career at UCCS: Innovate, Inspire, and Impact in the Rockies! Who We Are The University
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, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI/ML methods. Prior experience with analyzing