30 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at Nature Careers in Belgium
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communications Quantum communications Computing & Networking: QuMIMO, Quantum Error Correction, Multi-partite systems, Q Network Coding, HQCNN - Hybrid Quantum-Classical Neural Networks Security & Logic: QRL
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communications Computing & Networking: QuMIMO, Quantum Error Correction, Multi-partite systems, Q Network Coding, HQCNN - Hybrid Quantum-Classical Neural Networks Security & Logic: QRL - Quantum Reinforcement
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) 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 of teaching and
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outreach activities, including engagement with students and the broader public For further information, please contact Prof. Eva LAGUNAS at . Your profile Ph.D. in Electrical/Computer Engineering, Computer Science
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profile PhD in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related fieldStrong research track record, preferably with publications in leading AI and Computer Vision
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activities to promote SnT's research and citizen science initiatives Your profile... A Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or a related fieldA strong background in
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or equivalent in Mathematics, Telecommunications and Computer Science. Experience: The ideal candidate should have some knowledge and/or experience in several of the following topics: Experience with Machine
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Qualification: The candidate should possess an Ph.D. degree or equivalent in Telecommunications and Computer Science Experience: The successful candidate should have proven experience (in terms of high-ranking
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and data-driven developer tooling. More precisely: The candidate should hold a Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Computational Linguistics, Data Science
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) 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 of teaching and