915 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" positions at University of Texas at Austin
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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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, 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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to be set in consultation with the supervisor. Required Materials Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor, current or former
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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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Letter of interest 3 work references with their contact information; at least one reference should be from a supervisor Important for applicants who are NOT current university employees or contingent
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your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must
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pipefitting. Basic computer skills, including experience using Microsoft Word, Excel, and PowerPoint. Excellent communication skills. Attention to detail. Mechanical skill and affinity. Self-starter, able
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programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, software engineering, and computational