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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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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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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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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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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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, 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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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
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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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community with an open Scandinavian culture, affordable housing and living costs. For more information on the QM centre, please visit https://www.sdu.dk/en/qm. Job description A successful candidate will
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network of data sources in Europe. Creating and maintaining documentation, tutorials, and knowledge-based articles to facilitate the usage of the developed services and infrastructure. Collaborating with