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Ph.D. by the time of appointment in statistics, mathematics, computer science, engineering or a related discipline Required Other None Additional Preferred Experience working in one of the following
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The hiring range for this position is expected to be $78,000 – 83,000 per year A variety of health insurance plans (Medical, Vision, Dental) Generous Retirement Plan – 10.12% annual compensation contribution
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for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https
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Oxford Population Health (Nuffield Department of Population Health) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research
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in statistical network modeling, with applications in health and social science data. The scholar will have an opportunity to collaborate with other researchers, and mentor graduate and undergraduate
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important aspect for us. You will benefit from our family-friendly and collegial atmosphere, our established health management and occupational pension provision. As a public funded employer, we offer you a
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relationships, supporting UK researchers and innovators to work with peers around the world on the major themes of our time: planet, health, tech and talent. Eligibility Early Career Researchers (ECRs) have
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prior to employment. A completed pre-employment health screen is required for this position prior to employment. To Apply: Please apply through UVA job board , and search for R0062867. Internal
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to publications, presentations, and open-source tools related to the project. Your Profile Required Qualifications PhD in Bioinformatics, Computational Biology, Computer Science, Physics, or a related field. Strong
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
, The Program for Precision Medicine in Health Care (PPMH), Carolina Health Informatics Program, and the Carolina Institute for Developmental Disorders. Our Division philosophy is based on the scientist