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are being made with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without
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) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with
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effectively work with sponsors and stakeholders Minimum Education and Experience Ph.D. or equivalent terminal degree in Electrical Engineering, Microelectronic Engineering, Photonic Engineering, Physics
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or better, a minimum grade of B must be awarded to the master's thesis and a bachelor’s degree with an average grade C or better. The degree should be in theoretical physics, computer science or mathematics
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-advancing work. The goal must be to complete the PhD program/degree within the decided time frame. The decision on a 3- or 4-year position will be discussed as part of the interviews in the hiring process
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computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a mathematical perspective? Are you an innovative and productive team player who enjoys being part of
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Intelligence and Robotics, Healthcare Technologies, and many more topics across Engineering, Mathematics, and Physical Sciences. Why choose UCL? UCL has a long history of academic excellence and is consistently
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr
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-constrained Physical AI by dynamically distributing and adapting AI workloads across embedded devices, the edge, and the cloud, while jointly orchestrating communication, computation, and sensing under strict