633 postdoc-in-distributed-systems-and-controls positions at The University of Arizona
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at Biosphere 2. Together with an interdisciplinary team of scientists, the Postdoc will develop upscaling methods to estimate ecosystem scale transpiration based on locally observed energy balance partitioning
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) located at Biosphere 2. Together with an interdisciplinary team of scientists, the Postdoc will develop upscaling methods to estimate ecosystem scale transpiration based on locally observed energy balance
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/ Location UAHS - Tucson Address 1501 N. Campbell Avenue, Tucson, AZ 85724 USA Position Highlights The Department of Cellular and Molecular Medicine (CMM) at the University of Arizona is deeply committed
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facilities, including power distribution, cooling systems, and physical layout, in collaboration with facilities management. Coordinate with UITS change advisory board, networking, facilities management, and
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cash voucher or wire transfer. Supports unit cash handling processes ensuring internal controls. Human Resources: Supervises and trains student employees. Utilizes the university HR system to perform MSS
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proteins on brain circuits controlling puberty and fertility are a key focus. Research is conducted in mouse models, addressing the interaction of hormones and neuropeptides in coordinating the brain’s
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Highlights This position, funded by the Gordon and Betty Moore Foundation, is focusing on developing and utilizing the attosecond electron imaging facility for imaging the electron motion in the real time. The
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the Office of General Counsel and is a key member of the senior leadership team, supporting the university’s mission and providing practical, thoughtful, and independent legal advice and counsel
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and back of house), including ordering, inventory control, food preparation, budgeting, food and labor costs, and profit & loss development. Manages merchandising, receives and distributes materials
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, interface design, integration, verification, and validation. Oversee real-time control systems, data acquisition pipelines, simulation environments, and data reduction workflows. Identify and mitigate