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in areas including life cycle assessment, technoeconomic analysis, optimization, statistical analysis, machine learning, and generative artificial intelligence techniques. This role will play
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area networks (WAN), cloud networks, and other data communication networks. How to Apply: Interested candidates may apply online at https://jobs.coastal.edu/postings/122577 . Applicants must submit a
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Engineer, Steward Observatory Posting Number req26992 Department Steward Observatory Department Website Link https://astro.arizona.edu Location Steward Observatory Address 9040 S. Rita Rd, Suite 1500, Tucson
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Purpose of Organizational Unit The Department of Health Policy and Management (HPM) provides health services management and health policy analysis education at the certificate, undergraduate, residential
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of new grant proposals, including contributing to specific aims, research strategies, and budget justifications. Data Analysis and Dissemination Support advanced quantitative analyses (e.g., multilevel
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Under the general direction of the Business Systems Manager, independently perform advanced business systems analysis supporting Facilities Planning & Development's (FP&D) capital planning, design
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discover how we can advance health together. Duke Health Integrated Practice https://careers.dukehealth.org/us/en/dhip Pursue your passion for caring with Duke Health Integrated Practice, which comprises
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and policies. Supports the Business Services Coordinator to produce monthly financial expense reports and forecast analysis meetings with Director. Regularly meet, collaborate, advise, and recommend
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aligned with the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science-teams/food-quality-perception-society/. The Science Team
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PhD students. The MoM section is recognized worldwide for its high-level research on experimental analysis, theoretical understanding and predictive modelling of complex thermo-mechanical behaviour (e.g