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: For full consideration, applicants must apply for the Federal Work-Study Program Assistant & Workflow Developer at https://jobs.gmu.edu/. Complete and submit the online application to include three
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environments. Primary goals are to increase patient satisfaction, and to optimize care and outcomes. Acts as a communication liaison to understand the patient's non-clinical individual needs, desires, and
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, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Under the direction of the Patient Care Manager, the Pediatric/Neonatal Transport
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. Design, implement, and optimize data pipelines that support the university's modernization strategy. Contribute to the design of our future cloud-native data architecture and the selection and
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services) by evaluating the options available and balancing cost and quality to assure the optimal clinical and financial outcomes. • Accountability: Accepts responsibility and accountability for achievement
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Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Framework Programme? Horizon Europe - MSCA Reference Number DC12 Application Marie Curie Grant Agreement Number 101225857 Is the Job related to staff position within a Research Infrastructure? No Offer
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Advancements for the Academic Professionals. PRINCIPAL DUTIES: *Manage Institute scientific processes, optimize resources and infrastructure, and foster an open and highly collaborative environment conducive
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
with both business and operational stakeholders, optimizing performance, driving innovation, and establishing data governance and standardization to align with business objectives. Architecture: Design
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optimization problem formulations & solution techniques: convex optimization, dynamic programming, NLP, MILP and MINLP. Decomposition and relaxation techniques to tackle computational problems in distribution