246 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions at The University of Arizona
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, land-grant, AAU institution. This role supports clear, consistent communications of the President’s priorities across internal and external audiences, operating in close partnership with the Chief
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required. In addition to the education and experience minimum qualifications, Apprenticeship program, technical training experience required. Three years of relevant experience, or equivalent combination
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, such as steamers, slicers, and fryers. Ability to communicate effectively. Basic knowledge of computers. Physical Requirements: Occasionally lifts, transfers or moves a maximum of 50 lbs. This job posting
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related to instrumentation and techniques for ground and space-based telescopes and optical systems. Candidates with a range of experience in optical sciences and astronomy are encouraged to apply. As a
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. Additional duties as assigned. Executive Communications and Liaison Functions: Serve as a primary point of contact between executive leadership and internal and external stakeholders. Draft, edit, and
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/training, key skills, and internal equity. The Grade Range represent a full range of career compensation growth over time. The university offers compensation growth opportunities within its career
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primary point of contact between executive leadership and internal and external stakeholders. Draft, edit, and coordinate executive correspondence, reports, presentations, and other communications. Exercise
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Liaison Functions: Serve as a primary point of contact between executive leadership and internal and external stakeholders. Draft, edit, and coordinate executive correspondence, reports, presentations, and
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multimodal data (e.g., self‑reports, structured clinical interviews, sleep). Skill in written and oral communication. Ability to work effectively in a highly collaborative environment. Ability to work
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Postdoctoral Research Associate I, Psychology (Genetically Informed Studies of Social Connectedness)
applicant with demonstrated experience with advanced statistical methods, including a focus on causal inference, bioinformatics and computation (more broadly), or other cutting-edge analytic tools