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                by DTU, in collaboration with KTH Royal Institute of Technology, Sweden. The project, From Detection to Action: AI-supported Decision Systems for Disaster Preparedness , bridges early risk detection 
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                and predict cyber threats. You will work closely with international collaborators, including Eindhoven University of Technology (TU/e), and with industrial partners, providing realistic case studies 
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                Job Description Are you driven by the potential of AI in enzyme engineering? Do you want to design novel enzymes from scratch using cutting-edge generative models and validate their function in 
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                Job Description We are looking for a motivated, ambitious PhD student to join the Cryptography Group in the Cybersecurity Engineering Section at DTU Compute (Copenhagen region, Denmark). This 3-year 
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                PhD scholarship in Corrosion of Power Electronics Systems under Humidity and Gases If you are looking for an exciting opportunity for PhD, we at Materials and Surface Engineering section, Department 
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                Job Description Are you passionate about artificial intelligence, bioinformatics, food safety, and creating real-world impact through cutting-edge technology for improving food safety? Do you want 
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                Job Description The Transport Division of the Department of Technology, Management and Economics (DTU Management) at the Technical University of Denmark (DTU) invites applications for a 3-year PhD 
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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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                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 for the position. The Department 
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                analysis. The project is funded by the Danish National Defence Technology Centre (NFC). The project is a collaboration between DTU, the Alexandra Institute and Copenhagen University’s expertise in AI-driven