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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
technologies to scientific research study and experiment design, big data mining and processing, algorithm development, and complex computational analysis. They have expertise in the ethical issues of using AI
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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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. 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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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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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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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