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Consortium and host extensive supercomputing resources, including the "Cosmology Machine", some of which is part of the DiRAC national supercomputing facility. Further information may be found at http
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control. Experience with Linux/Unix. Experience with statistical and numerical methods. Preferred Competencies Excellent interpersonal, verbal, written, and presentation skills. A broad knowledge of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
the Gillings School of Global Public Health. The department’s primary focus is to the development and application of research methods to understand the patterns and causes of health and disease, and the
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requires the ability to juggle numerous conflicting priorities and maintain composure in the face of frequent interruptions and shifting deadlines.This role will also interact with a wide range of audiences
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patients. Skill to assist in the performance of veterinary medical treatments and procedures. Knowledge of common hospital pathogens and methods of disinfection. Knowledge of medical terminology and disease
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, hindcasts and future projections of environmental change. Methodological strengths may include Earth-system foundation or other machine-learned physics models; the use of AI methods for model parametrization
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approximation algorithm, using linear programming methods. Over the next years, the project will grow to a collaborate team of 4-5 PhD students and Postdocs. The successful candidate will work directly with the
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Specialist A/B Job Profile Title Research Specialist A Job Description Summary The Geffen laboratory, https://hosting.med.upenn.edu/hearing/, at the University of Pennsylvania, has an opening for a Research
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negotiations and learn about collective bargaining at UC: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/index.html High quality and low-cost medical plans to choose from to fit your family’s
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demonstrated expertise in advanced computational, ML, or AI methods and/or computational social sciences and in candidates studying environmental consequences of AI. We also value experience with ethical data