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interfaces, application databases, algorithms, etc. Assist with design reviews. Work with quality control teams to optimize testing techniques. Provide technical guidance and mentoring to program teams. Track
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deep learning algorithms in ESRI ArcGIS or similar software. Desirable Application Proficiency with relevant specialised software and approaches (e.g., geographic information systems, high-performance
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California State University, Northridge | Northridge, California | United States | about 8 hours ago
Hawaiian or Pacific Islander. For more information about the University, visit: http://www.csun.edu About the College: The Andrew J. Anagnost College of Engineering and Computer Science seeks to be a
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on literature from mathematics, computer science, robotics, and game theory. Join a growing research group developing state-of-the-art algorithms for agentic decision making. About us The Department of
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. university groups within CMS. Our instrumentation expertise spans detector operations and upgrades (Level‑1 muon trigger, CSC muon system), tracking algorithm R&D, and future HL‑LHC trigger algorithm
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design, software engineering, theory of computation, analysis of algorithms, programming languages, artificial intelligence, and computer networks and security. The responsibilities of the position include
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multidisciplinary team, familiarity with best practices in software engineering, and efficacy at communicating and planning with computer-facility technical staff. Experience with algorithms for hydrodynamic-scale
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science and engineering domains. Responsibilities will include: ● Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ● Support RAD Collaboratory research on national
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to national security and societal wellbeing, such as finance, education, civil infrastructure, agriculture, healthcare, entertainment, security, and government; and Inventing new algorithms, techniques, and
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cell-tracking algorithms, we can follow thousands of individual cells in real time as they respond to carefully designed chemical and mechanical cues. These approaches generate uniquely rich datasets