570 computional-geometry-algorithm positions at The University of Arizona in United States
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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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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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Estate and Urban Planning)(Multiple Positions) Posting Number req23617 Department Planning Degree Program Department Website Link Medical Sub-Speciality Location Main Campus Address Tucson, AZ USA Position
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Support Specialists for the Project FOCUS program will have a primary focus of assisting and empowering students to achieve academic success and social adjustment through a variety of activities including
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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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for on-campus clinics and off-campus contracts with local/regional partners. Participate in the teaching, scholarship, and service activities of our academic program. This position is for a career-track, non
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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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Division Chief of Vascular Neurology who is also a Physician-Scientist to lead our expanding stroke and cerebrovascular program. This tenure-eligible position offers competitive resources, including startup
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. For certain evaluations, enter test data into computer database ensuring accuracy and entry in a timely manner. Facilitate training for study staff to understand study protocols, administration and scoring
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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