276 parallel-and-distributed-computing positions at University of Virginia in United States
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Administrator (RHIA) preferred. PHYSICAL DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and
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of an accredited graduate school of nursing or physician assistant program with a master’s degree. Experience: Department and unit specific. Licensure: License or license eligible as an Advance Practice Provider
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instructor for students. Performs physical therapy examinations according to professional standards and departmental policy Demonstrates knowledge of intervention options and executes a program of skilled
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data
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messages clearly and concisely. Completed coursework or on-the-job training in medical terminology and/or CPT-coding and/or anatomy. Strong problem-solving skills. Required Computer Applications: MS Office
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through the implementation of the Coping Power Rural Program , Double Check Online program, Integrative Data Analysis Projects, the mental health screening of students, and related evidence-based programs
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) and walking (distance: 1 – 2 miles/day), Repetitive motion: computer keyboard and driving/traveling. Proficient communicative, auditory and visual skills; Attention to detail and ability to write
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purchases, provide product knowledge and location, stock and receive merchandise. Basic computer skills are required. Cashier duties, as needed. Will assist in all areas of the store when needed. In
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on an evaluation, in collaboration with University Human Resources, of education, research, teaching, and level of scholarly work. Education: Master's degree in Library Science from ALA Accredited program or
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processing to work on research in personalized behavioral health. The successful applicant will collaborate with an interdisciplinary team to develop software and computational models that leverage data from