554 postdoc-parallel-computing uni jobs at The University of Arizona in United States
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-T) is a growing program with an excellent foundation. Our goal is to continue to elevate this department and to enable an environment that provides the best possible care for patients with all types
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advisors on complex or unusual cases. Professional Development and Program Support/Participate in ongoing training, development opportunities, and departmental meetings. Support special advising-related
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to include letterwinner awards and program participants on individual student-athlete records. Educate current Arizona student-athletes about the history and heritage of Arizona Athletics and the A
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-Speciality Location University of Arizona Health Sciences Address Tucson, AZ USA Position Highlights The University of Arizona's Doctor of Physical Therapy Program is seeking local clinicians to participate in
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to develop personally and professionally. The College has two openings for in-person academic advisors to support the growing populations of MAIN campus majors in Psychology and Computer
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architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator . Career Stream and Level OC1 Job Family Administrative Support Job Function
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platforms. Manage and oversee records each fiscal year to include letterwinner awards and program participants on individual student-athlete records. Educate current Arizona student-athletes about the history
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compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator . Career Stream and Level
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delivering nutrition, physical activity and other health education programs in Arizona. This position will also help deliver programs such as the Diabetes Prevention Program. Duties and responsibilities
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Qualifications PhD in data science, biomedical informatics, computational biology, neuroscience, or related field. Demonstrated experience in analyzing real-world medical data and applying machine learning