355 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FCiências" positions at University of Virginia in United States
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. Works under moderate supervision. Problems are typically of a routine nature but may at times require interpretation or deviation from standard procedures. Communicates information that requires some
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containing information on campus security and personal safety, including alerts, fire safety, crime prevention tips, and crime statistics is available at www.uvawise.edu/ASR . A copy is available upon
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Assistant Executive Assistant Receptionist Data Entry/Filing & Record Maintenance Writing and Editorial Assistant Events Coordinator Event Support Staff Program/Project Assistant Bookstore Retail Associate
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for prolonged periods, frequently bending/stooping, reaching (overhead, extensive, and repetitive); Repetitive motion: computer keyboard. Proficient communicative, auditory and visual skills; Attention to detail
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your perfect job match, and the freedom and support to take your career to the next level. Educational Resources 1 Job Information Management, Services & Technology 1 Job Nursing 2 Jobs Research 3 Jobs
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vocational or technical education. Work is routine or follows standard procedures. Work is closely supervised. Communicates information that requires little explanation or interpretation Education
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of a routine nature but may at times require interpretation or deviation from standard procedures. Communicates information that requires some explanation or interpretation. MINIMUM REQUIREMENTS
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are required, in addition to basic computer, tablet, and/or smart phone usage to navigate UVA systems and email. Maintain cleanliness of assigned area, ranging from offices, classrooms, restrooms, and public
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essential diagnostic information Individual contributors with responsibility in a clinical discipline or specialty. Typically involves diagnosing, treating, and caring for patients, and often include face-to
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Development of strategies to improve the spatial resolution and image contrast of structural lung proton MRI using efficient spiral sampling and neural networks for denoising, motion compensation, and data