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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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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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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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of conducting rigorous research and producing high-quality outputs. Ability to network with industry partners. Expertise in machine learning algorithms, artificial intelligence, game theory, optimization
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instrumentation into next-generation research facilities. Your responsibilities Working closely with scientists and engineers, you will Operate and optimize advanced UHV systems Develop and improve crystal growth
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Quantum networks rely on entangled photons to distribute quantum information across the network. In our group, we study these photon sources as well as ways to utilize and optimize them for use in quantum
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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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of the College local and wide-area data/video/voice networks including troubleshooting routers, hubs, switches, and communication lines. This position also supports other ITS teams in evaluating
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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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, resource allocation, coordination, or distributed decision-making. Knowledge of wireless communication systems, communication-aware control, network optimization, or joint communication and sensing is highly