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hydro informatics, flood forecasting/early warning, urban flooding, radar/satellite precipitation, Artificial Intelligence, and resilient infrastructure systems. The successful candidate will be expected
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promising forward-looking research agenda. Areas of interest include operating systems, distributed systems, embedded systems, mobile computing, and cloud/data center systems. We are also interested in
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the curriculum. Develop and present the business case for developing a new training program, course or job aid to the decision board to gain approval. Establishes project plans and leads teams in the development
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/Scientist IV, Electrical and Computer Engineering Posting Number req25245 Department Electrical and Computer Engr Department Website Link https://ece.engineering.arizona.edu/ Location Tucson Campus Address
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description University of California, San Francisco (UCSF) is distinguished as a leading academic healthcare
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, Enterprise Architect and Program/Project Managers. The role will have direct reports. Specific accountabilities for this role include: Be the Lead Solution Architect for a range of domains and own the end
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%): Collaborate with UMAA team members to design effective and strategic marketing journeys for U of M alumni and members. Lead the team’s use of Salesforce Marketing Cloud (SMC), Journey Builder, and HTML
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leading the design, implementation, configuration, and ongoing support of Oracle Fusion ERP cloud platform with a hands-on focus on both technical and functional domains. The ideal candidate will have
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position As AI Training Program Officer, you
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Scientist to improve the data analysis experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data