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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 for the position
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contaminants in the food chain. As part of our role as the EU Reference Laboratory for Processing Contaminants (EURL-PC), we contribute to shaping future food control systems by improving and harmonizing
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bystander reactions can be effective in countering online hostility and improve the quality of online deliberation. To realize the potential of pro-social bystander reactions to online hostility, we need
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microscope (HS-DAFM) control software and signal processing circuits. These systems are critical for capturing high-quality nanotexture images from skin samples collected across five countries and four
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professionals. We encourage a comparative approach that examines how generative AI is adopted across different professional domains, and how its effects on expertise, quality and efficiency are shaped by
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on developing TFLN and TFLT photonic integrated circuit (PIC) platforms for classical and quantum information processing. Our approach involves cavity-based components with electrically controllable cavity
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Denmark as well as abroad. Your primary tasks will be to: Develop, test, analyse, simulate and predict the capture performance of new fishing gears. Produce high quality scientific and/or engineering papers
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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 checks may be conducted
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, distribute and follow up on tasks with the rest of the team. Report effectively on progress and plans. Publish research results in high-quality scientific journals, and present research findings at conferences
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landmark database on university deep tech startups, carry out independent, high-quality research leveraging this data, and engage with stakeholders in the Danish and international deep tech arena