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                , casings, tracks, ledges, and venetian blinds. Makes beds and tidies bedrooms. Handles, counts, and mends linens. Spot washes walls to remove such items as splash marks around sinks and fingerprints from 
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                offices on- and off-campus. - Establishes and maintains operating practices relevant to endowment tracking, maintaining donor confidentiality and discretion when communicating sensitive information 
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                field. Three – five years of alumni/ donor relations, professional major gift fundraising experience in higher education or readily transferable skills, and a proven track record of working in a complex 
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                theoretical research relevant to FRIB science. Past fellows have a track record of moving directly into open faculty or permanent staff positions. Equal Employment Opportunity Statement All qualified applicants 
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                , casings, tracks, ledges, and venetian blinds. Makes beds and tidies bedrooms. Handles, counts, and mends linens. Spot washes walls to remove such items as splash marks around sinks and fingerprints from 
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                with lightweight mop. Washes window glass, casings, tracks, ledges, and venetian blinds. Makes beds and tidies bedrooms. Handles, counts, and mends linens. Spot washes walls to remove such items as 
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                effort reports, verifying data for university research reports, tracking income and expenses, assisting with project closeouts, forecasting and monitoring budgets, and serving as a liaison between faculty 
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                implementation of projects and equipment. Tracks and analyzes equipment performance, warranties, expenditures, procurement and reports any risks, overflows, and deficits. Assists operational teams with identifying 
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                , effectively communicating deadlines and tracking progress towards event objectives. Event Logistics: • Researches venues, formats, and technologies that support immersive storytelling and create a sense of 
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                structural modeling and estimation. Advanced knowledge in causal inference and use of econometric tools and statistical software (e.g., Stata, R, Python) to conduct research using secondary and primary data