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University of California Agriculture and Natural Resources | San Jose, California | United States | 3 months ago
two complementary UC ANR programs: the Climate Smart Agriculture (CSA) Program, housed in the California Institute for Water Resources (CIWR), and the Small Farms Network, housed in the UC Sustainable
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Network, ESPN, and other digital platforms. This position serves as a self-motivated, team-oriented problem solver responsible for ensuring all broadcast equipment is in good working order, properly set up
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that are critical for the long-term strategic growth of our division and the university. For more information, please visit https://finance.rutgers.edu/ . Posting Summary Rutgers, The State University
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---- Earliest Start Date: Aug 03, 2026 ---- Position Duration: Expected to Continue ---- Location: UT MAIN CAMPUS ---- Job Details: General Notes Extended Education Ventures (EEV) (https
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relationships with university researchers within its global network and work to advance the development and commercialization of ground-breaking technologies. This includes supporting spinouts and start-ups and
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modeling and simulation software, preferably SolidWorks (other 3DEXPERIENCE tools such as CATIA, or top-tier modelers such as Creo, NX, Inventor, Fusion 360 also acceptable). Benefits at UTA We are proud
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network systems) Technology Skills Required: Basic keyboard proficiency and understanding of Windows® based software including MS Office and related applications. Special Requirements (and ongoing
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of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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of Michigan Medical School. We engage faculty, students, and staff to provide a holistic portfolio of software, applications, infrastructure, device support, and custom projects to enable innovation and
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limited to: Operate and assist with all mass spectrometry related operations including but not limited to sample preparation and data acqusition Process raw LC-MS and GC-MS data using a well-defined