956 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Texas at Austin
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scheduled and operational functions. Working nights, weekends and more than 40 hours per week will be required. Required Materials Resume/CV 3 work references with their contact information; at least one
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references with contact information; at least one reference should be from a supervisor Letter of Interest Important for applicants who are NOT current university employees or contingent workers: You will be
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, ionizing and non-ionizing radiation, hazardous medications and disoriented or combative patients, or others. Required Materials Resume/CV 3 work references with their contact information; at least one
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OR PERIODIC FUNCTIONS: Research and Data Management Conducts research and manages data related to program activities. Provides insights and recommendations based on data analysis. Training and Development
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technicians responsible for FAB set up and sustaining manufacturing. Responsibilities Level I: Run equipment on daily basis as per instructions from EE or Sr. Techs. Generate data and store/interpret tool data
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, for consultation, education, and problem solving. Serves as a resource on student conduct matters at the institution. Engages in regular data analytics review to guide assessment efforts, case management
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: Assist the Project Director and other UT Austin GEAR UP staff in identifying, collecting, and interpreting key progress and outcome variables to evaluate the progress of GEAR UP; enter service data on a
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School’s student population. Ensure timely approvals, process transactions efficiently, and handle sensitive and confidential information with discretion. Coordinate planning activities to support student
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. Communicates requests to program psychiatrists within prescribed timeline and provides psychoeducation, referral information, and resources upon request. Standardizes clinical communication while obtaining
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programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, software engineering, and computational