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-Time and other pre-award actions requiring institutional authorized review 10. Aids in electronic system management for contract tracking and status updates 11. Serves as primary intermediary with all
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(FYE) mailings and email account. Answer the phone and serve as a resource to callers and/or guests in the FYE office. Assist with special projects as assigned by staff members. Assist with general
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, which deepens its interdisciplinary reach into the Greater Bay Area and beyond. For more information about HKUST, please visit https://hkust.edu.hk. The School of Medicine HKUST is embarking on a landmark
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electronically through Workday. Please note that emailed materials will not be accepted. Veterans are encouraged to apply. UNLV values the skills of those who have served. Learn more at Veterans Webpage
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at various stages of completion. More details can be found at https://www.unlv.edu/chemistry . MINIMUM QUALIFICATIONS This position requires a Ph.D. in Radiochemistry or a closely related discipline (Nuclear
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
Would you thrive in a world-class team addressing grand challenges in catalysis science? A research position is now open for experimental research in advanced nanoreactors and operando electron
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patients per month in its 17 primary care and specialty care clinics, and its partner hospitals. For more information, visit us on line at: https://www.unlv.edu/medicine . MINIMUM QUALIFICATIONS
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electronically through Workday. Please note that emailed materials will not be accepted. Veterans are encouraged to apply. UNLV values the skills of those who have served. Learn more at Veterans Webpage or contact
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language technologies, such as: Neural Machine Translation (NMT), LLMs, Computer-Assisted Translation (CAT), Terminology Extraction and Management, Quality Assurance; experience working with professional
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into operational decision‑support tools for farmers, in close collaboration with an industry partner. The project focuses on automated rumen‑fill assessment using 3D imaging, computer vision, and predictive