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Field
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Assistant Professor of Electrical and Computer Engineering - High-Performance Computing University of Oklahoma Norman Campus: Gallogly College of Engineering: School of Electrical and Computer
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direct MTRI’s machine learning (ML) research portfolio within a government-focused R&D environment. This role will shape our ML strategy, lead business development efforts, and serve as Principal
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facilities to support interdisciplinary research. The new hire will report to the MDI Director. The new hire will learn all of our existing protocols and will work with faculty and their teams to help them use
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 12 hours ago
analyses), patient monitoring algorithms (e.g., artificial intelligence/machine learning approaches) for disease detection and management, and physiologic closed-loop controlled devices. Research activities
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not simply as a retrospective data source, but as a platform for translational research, clinical workflow innovation, and learning health system improvement. Applicants should demonstrate the ability
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Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping
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an integrated framework to explore advanced workloads including simulations with in-situ visualization and, possibly, machine learning integration. This work will inform future ALCF platform procurement decisions
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Date 04/29/2026 Requisition Number PRN44877B Job Title Network Engineers Working Title Network Engineer I Career Progression Track P00 Track Level P3 - Career, P2 - Developing FLSA Code Computer Employee
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backbone is the central nervous system for developing, deploying, monitoring, and governing all machine learning models related to the project. The platform architect will be responsible for strategic
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research excellence and the ability to pursue a doctoral degree at TUM Documented experience in machine learning and/or natural language processing with deep knowledge of LLMs, RAG and agent-based AI systems