255 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" uni jobs at Columbia University
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Department?s compliance plans. Revise the departmental compliance plan annually and in partnership with the OFBC. In conjunction with the OFBC, develop department specific compliance educational programs
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and therapeutic plan, including identification of any health risks. Develops and implements treatment plans by prescribing/dispensing medications and/or injections / infusions in compliance with medical
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, the Assistant Director, Advising for Operations will play a key role in organizing, planning, and executing advising infrastructure for students in the School of Professional Studies (SPS), whose program
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programs under the management of the Chief Nurse Practitioner and direction of the CACC Medical Director within the Division of Cardiology. The NP will work collaboratively with Physicians, NP peers
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their supply needs. Assists in the development of specifications for capital equipment and supplies. Manages capital purchases and standardizes procurement programs to ensure supplies are obtained
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will contribute to the School by teaching in the MBA and Executive MBA programs about Decision, Risk, Operations and related topics. Applicants must have a doctoral degree from an accredited institution
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data efficiency. Decision Making/Autonomy (10%) – Lead architectural and data design decisions; prioritize experiments aligned with program milestones; evaluate trade-offs between model accuracy and
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department by developing an original and leading externally funded research program, and by contributing to the undergraduate and graduate educational mission of the Department. Applications should be
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to grid-level systems integration. The successful candidate will establish an externally-funded research program addressing critical technical barriers to advancing energy storage technologies toward
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the cell culture environment. b. Digital Twin Development: Utilize programming and data science skills (e.g., Python, R, TensorFlow) to develop, train, and validate machine learning (AI) models. These models