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dissipative networks. We will view learning as a feedback interconnection of continuous-time (circuit) dynamics and an optimization algorithm. The key idea is to develop algorithms that minimise cost functions
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managing the operation and maintenance of audio, video, and computer systems in a networked environment, encompassing desktops, laptops, media control systems, and instructional technology. The role involves
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managing the operation and maintenance of audio, video, and computer systems in a networked environment, encompassing desktops, laptops, media control systems, and instructional technology. The role involves
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
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for managing an HPC cluster of approximately 600 CPU and GPU nodes, HPC storage systems, InfiniBand and Ethernet networks, and day-to-day operational issues. The role provides broad support to researchers and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
research, probability, optimization, stochastic modeling, data science, analytics, and decision-making under uncertainty. The department is nationally recognized for graduate education and research
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equipment management skills in order to improve and advance patient care. Work as part of an interdisciplinary team to manage and optimize the medical device inventory including, but not limited to, those
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available in Germany within the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network TRILOGY, funded under Horizon Europe. The selected doctoral candidate will work on an interdisciplinary research project
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-tolerant network services and support restoration during significant network incidents. Use network observability and analysis technologies to optimize performance, coverage, security, and infrastructure
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. Working hours: Full-time. Workplace: Tower A, 1st Floor, Office 10, IIS La Fe. Project Call: TRANSCAN-3 ERA-NET: Sustained Collaboration of National and Regional Programmes in Cancer Research Funding