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: undergraduate medical education governance committee meetings, phase 1 and 2 team meetings, threads working group and the OMSE leadership team. Work closely with UME leadership in the forecasting, development and
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and forecasting capabilities, including oversight of sophisticated analytic and predictive models, to inform operational and strategic planning, resource allocation, and institutional forecasting
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well as machine learning, is ensuring reliability and trustworthiness. This is especially crucial in applications such as medical diagnosis, weather forecasting, and aircraft design. To improve the reliability and
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environment, and want to be part of a team that drives meaningful impact, we’d love to hear from you! Join us and be a part of shaping the future of finance at NUS! Website: https://www.nus.edu.sg/finance
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and long-term objectives. This position will report to the Associate Vice President for Finance on matters related to capital structure, liquidity, financial forecasting, and enterprise risk exposure
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recommendations and analytic frameworks that improve efficiency, accountability, and long-term sustainability Forecasting, Planning, and Decision Support Design and implement predictive models and forecasting tools
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for Psychiatry Inpatient and Ambulatory Care programs across 4 Seattle area hospitals. Conduct clinical revenue analysis, including forecasting, modeling and funds flow for new and existing programs, drafting
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
at different locations, directionality of the network can lead to better understanding of ionospheric dynamics and advances in space weather forecasting. We seek highly motivated candidates to participate in
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performing facilities-related work. Supervisory responsibilities include training staff, developing daily work schedules, forecasting maintenance needs, conducting performance reviews, administering corrective
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academic goals with mutual respect and shared inquiry. The position supports research on forecasting agricultural production and yields using geospatial data, machine learning, and ground-based measurements