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is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD
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and transport systems, within the ELLIS network. The project is fully funded through the Novo Nordisk Foundation Data Science Distinguished Investigator programme. You will be based in the Intelligent
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data. You will encode prior knowledge of the collisional processes in tokamak fusion plasmas using sophisticated numeric simulation codes, which will enable you to analyze data from tokamak experiments
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comprehensive training in translational liver research, including data analysis, experimental design, and scientific dissemination. Qualifications We are looking for a highly motivated PhD candidate with a strong
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properties through computer simulations. The project also includes validation of materials in the lab and translating the findings into practical recommendations for use in real power-electronics environments
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Job Description Are you passionate about environmental contaminants, food safety, marine ecosystems, and creating real-world impact through cutting-edge analytical and data-driven approaches? Do you
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of demographic methods and experience with software such as R, or similar tools; be eager to learn new demographic methods. Further information about the position can be obtained from Head of Administration Astrid
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are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates
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your motivated application, CV and exam certificates. If you would like additional information about the position, please contact Academic Employee Yaman Göksel at yagok@dtu.dk , or Professor Anja Boisen
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data availability and design parameters. Importantly, the AI implementation should act as a facilitator of creativity, enhancing, and inspiring the early design phase rather than constraining