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to acquire greater knowledge about basic scientific problems and to conduct research oriented towards use in societies and companies. Technology for people DTU develops technology for people. With our
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foods for the future? If you have knowledge within the area of allergy and protein-chemistry as well as have hands-on experience with cell-based in vitro models and are looking for a PhD fellowship
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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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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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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