77 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "https:" positions at University of California Riverside in United States
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for stage and screen. * Strong understanding of storytelling structure, character development, genre conventions, and comedic timing across multiple media platforms. * Familiarity with the professional
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applications for an Assistant Professor of Popular Music with an expected starting date of July 1, 2024. We seek a candidate with a strong commitment to innovative teaching and research focused on technology
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program and have the opportunity to collaborate with a vibrant network of researchers across the chemistry, physics, biology and engineering departments. All candidates must have a doctorate degree and will
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in physics or a related field. To apply: submit a CV, Cover Letter, Statement of Research, and a Statement of Teaching to https://aprecruit.ucr.edu/apply/JPF02178 . Review of applications will commence
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analytical support for complex budget, financial, or resource analysis projects. Extracts data from multiple sources and systems and produce synthesized reports. 15% Prepares reviews and/or approves financial
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information about the Department of Electrical and Computer Engineering, please visit https://engr.ucr.edu/ . Additional details regarding postdoctoral studies at UC Riverside can be found at https
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will coordinate the submission of proposals to multiple agencies, including the development of multi-year budgets, where analysis of financial information requires review of a variety of factors (e.g
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. Ability to present complex finance related information in a clear and concise manner, both in writing and verbally. In depth ability to use multiple spreadsheet and database software tools to gather
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of application include: A PhD in Environmental Chemistry, Environmental Toxicology, Soil Sciences, Environmental Science, Environmental Engineering, or a closely related field is required. Demonstrated excellence
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Pest Management in The Western U.S.' (https://ai4sa.ucr.edu/ ). The overall goal of this project is to develop advanced tools for early stress (abiotic and biotic) detection and decision support for crop