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. The PhD project is part of MADE REACT (Resilient manufacturing systems through AI-powered and digitally Connected Technologies), which is a national collaboration involving 23 leading companies, five Danish
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sources with embedded quantum memories based on erbium in ultracompact tunable silicon nanocavities. You will be part of a well-funded project that builds on our recent experimental breakthroughs in ultra
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Job Description Are you passionate about renewable energy and eager to apply machine learning to real-world challenges? Join our research team at DTU and work on groundbreaking advancements in
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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controlling WBG semiconductor-based converters for electric machines. The role involves designing, developing, controlling, and demonstration of the electric drive system in collaboration with our industry
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candidates will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an active, dynamic research group that combines bold research and a collaborative spirit. The
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? We invite applications for a PhD position, focusing on the design and implementation of Spiking Neural Networks (SNNs) using CMOS technology. Project Overview This PhD position is part of a
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Job Description SDU Robotics , part of the Maersk Mc-Kinney Moller Institute , University of Southern Denmark (SDU), invites applications for one or more 3-year PhD positions, where the candidate
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documents. We recommend that as an international applicant you take the time to visit Work in Denmark where you will find information and facts about moving to, working and living in Denmark, as