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in the communication, analysis and execution of processes. You will be part of a team at DTU Computed supported by the Villum Synergy Fund and through the Danish Interdisciplinary Center for Digital
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quantum light sources coupled to quantum memories. Quantum memories are key components of optical quantum computers and scalable quantum networks: They are responsible for the central tasks of storing and
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infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active
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technologies, and secure communication. Responsibilities and qualifications Your contribution will be within the field of electrical power and energy systems with an emphasis on research and teaching in one
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, and teamwork. You will have a great opportunity to build strong networks with internationally known researchers at DTU and other universities as well as leading industrial partners. As a PhD candidate
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individualized course program Training in a wide range of skills including research management, communication, networking, presentations, writing of manuscripts etc. Research exchange to collaborating institution
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spectrum of applications ranging from aircrafts, ships, offshore structures, vehicles and energy applications. Currently the group is involved in several international research cooperation networks focused
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communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results into applications in close collaboration with
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learning for foundation models, reinforcement learning, variational autoencoders or agentic AI. Theoretical insight into contemporary neural networks such as transformers is essential, and knowledge
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communication skills and a curiosity to understand the needs of researchers, as well as the motivation to explore and find solutions. You will be part of our Data Management Department, where we work hard to