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Job Description The Department of Technology, Management and Economics at DTU invites applications for a PhD student position on the topic of using AI to reduce stochastic problems. You will be
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interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules
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leading research group on data-driven and stochastic methods in engineering. In addition, we have a dedicated focus on the next generation of methods for smart grids and for accelerating the green
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and peptide phase separation and aggregation associated with human neurodegenerative diseases. The applied methods include protein engineering as well as various spectroscopy, confocal and electron
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drugs. We offer a highly creative, collaborative, and ambitious work environment. This project will be part of the IDUN section, led by Prof. Anja Boisen at DTU Department of Health Technology. IDUN is a
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. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates
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, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background
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position integrates academic research with industrial challenges, providing a robust foundation for a career in renewable energy technology. The position offers a unique opportunity to join a leading-edge
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engineering, operational research and energy systems modelling through dedicated courses and/or related work. The following further qualifications will be considered in the assessment: Strong background and
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to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates