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nanometre-sized optical structures for intelligent manipulation of light. They require only simplistic (microelectronics-compatible) fabrication processes, and have the potential to replace previous optical
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nanometre-sized optical structures for intelligent manipulation of light. They require only simplistic (microelectronics-compatible) fabrication processes, and have the potential to replace previous optical
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Chemie und Biochemie Herrn Prof. Dr. Siegfried Eigler Altensteinstr. 23 a 14195 Berlin (Dahlem) With an electronic application, you acknowledge that FU Berlin saves and processes your data. FU Berlin
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, Denmark, and is headed by Prof. Petar Popovski. The center aims to revolutionize communication systems for the quantum age. As quantum technologies rapidly advance, CLASSIQUE focuses on a critical challenge
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: Control and operation of distributed energy resources and microgrids Ancillary services and stability of electrical grids Power system simulation using tools such as DIgSILENT PowerFactory and MATAB
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Theoretical High Energy Physics/Mathematical Physics. The position is associated with a research program “Quantum Quenches from Quantum Fields”, which is financed by The Villum Foundation and directed by Prof
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improvement of simulation models, based on process understanding and existing field data, will be needed to study CO2 injection and long-term effect for maximizing the CO2 injection rate and storage utilization
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Europe | about 1 month ago
on MCF technology in Europe. Training of DCs will exploit multidisciplinary consortium expertise spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device
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simulation study of light matter interaction, digital twin enabled process development and life cycle assessment will be researched. Opens: Immediately Deadline: 08/08/2025. Duration: 36 months Funding: Funded
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-based processing. This project will investigate event-driven learning approaches in the context of RL in an event-triggered fashion. Data efficiency will be improved by using meta-learning and pre