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academic partners in Europe and globally. Candidates with the following qualifications will be preferred: Educational background in power systems. Documented knowledge in optimization in power and energy
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DTU Management’s Management Science division. The project is led by Professors Stefan Ropke and Richard Lusby and involves international collaboration with leading researchers in machine learning and
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. This knowledge will support the designation of marine protected areas in line with the “30 by 30” conservation target. A central component of the project is the integration and analysis of diverse data sources
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of increasingly renewable energy systems. The ideal candidate will have experience or an interest in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and
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knowledge of production engineering technologies and manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab
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checks may be conducted on qualified candidates for the position. DTU Civil and Mechanical Engineering develops and utilizes science and technical knowledge for the benefit of society and sustainable
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to current literature and published in conference and journal articles. You are required to have an excellent academic background and must have a strong knowledge of production engineering technologies and
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Phaffii? You will play a key role in a collaboration between Professor Uffe Mortensen at the Department of Biotechnology and Biomedicine at DTU and the Microbial Expression Engineering Department at Novo
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more sustainable? If you share our passion for technology and the difference it can make in meeting the UN’s Sustainable Development Goals, perhaps you are one of our two new PhD students. At DTU Electro
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University but includes satellites at several other Danish and international research institutions. CORC strives to develop knowledge and scalable technology that can be used to capture and recycle carbon