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of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and
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possible in the field of energy storage. We invite applications for a fully funded PhD position in Thermal Energy Storage (TES), Industrial Energy Systems, and Artificial Intelligence at the Thermal Energy
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on mould concept and production system development. As a Researcher you are expected to have an active role in preparation of project applications to attract national as well as European funding. As formal
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, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Associate Professor Johan Ulrik Lind, and Assistant Professor Anne Z. Eriksen. We offer DTU is a
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to join our team. The project will focus on developing innovative silicone-based foams tailored for healthcare applications. Responsibilities and qualifications The project focuses on the design
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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 Professor Nika
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. For information about 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
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aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
. For information about 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 undertaken by
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-world medical applications? Do you want to design next-generation protein therapeutics using cutting-edge generative models and validate them in the lab? Join a collaborative PhD project at DTU