628 parallel-computing-numerical-methods-"Prof" positions at The University of Arizona
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. Participate in lab meetings and other scientific discussions to assist with judgment of data findings and research methods while participating in discussions regarding future research goals. Communicates
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Main Campus Address Tucson, AZ USA Position Highlights The Visual Impairments Program in the Department of Disability and Psychoeducational Studies at the University of Arizona invites applications for a
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and the Department Chairs to provide day to day operational, regulatory and supervisory support for numerous clinical research initiatives to ensure successful implementation of and adherence
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tracking and EEG methods, cross-disciplinary collaboration, and opportunities for mentorship, authorship, and grant development. Our main focus is in how people search withing the visual world, and in
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Qualifications Experience in electrophysiology and analytic methods for analyzing this type of data. Experience in computational neuroscience and modeling, as well as in the aging brain is desirable. FLSA Exempt
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role serves as the liaison between the campus and numerous clinical sites. This position is responsible for the operational functions of student education in the department, and will contribute
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media, news media, digital signage, podcast, signature events, and executive presentations. This candidate must be comfortable managing multiple projects in parallel, many of which require the execution
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able to climb stairs, lift, twist and/or bend numerous times throughout the day. Must be able to move/transport a minimum of 35 lbs and up to 50 lbs of heavy objects; requires movement in, around, and
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computer for this summer, hourly position. The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations
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of academic data in a comprehensive program across the entire medical school curriculum. Determine methods for systems analysis, interpret and disseminate academic data to varied audiences of key stakeholders