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. Ideally, you are motivated to work on the development of intelligent systems that support autonomous operations in wind power plants. Your ability to combine technical skills with a systems-level
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of research results in scientific journals and conferences. Qualifications: Good understanding of solid mechanics and preferably modeling of damage and/or fracture. Experience with experimental work and data
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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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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Lei Yang and Prof. Johannes Kabisch (Norwegian University of Science
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Associate
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nanotechnology towards entering so far uncharted experimental regimes. Responsibilities and qualifications The candidates will work closely together with each other and the rest of the Photonic Nanotechnology
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programme, please see DTU's rules for the PhD education . Assessment The ideal candidate will have solid background in experimental molecular biology combined with experience with microbial protein production
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joining the division of Geodesy and Earth Observations, which is one of the six divisions at DTU Space. You will work in close collaboration with colleagues at both DTU and with academic partners
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. Responsibilities: Conduct research in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Professor Joerg Jinschek. We offer DTU is a leading technical university