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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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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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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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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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for detecting subpicotesla magnetic fields? Can we control the trajectory of the current in magnetic fields? Can we form automated routines to answer the above questions? You will work in close collaboration with
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size while printing. For AM 17-4 PH, we will use heat treatments (in-situ as well as ex-situ) to control the aging process, with the aim of developing a tailored microstructure with layered precipitation
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, protocols, and data standards across collaborating institutions and scales. This collaboration will support the generation of coherent, high-quality datasets and enable the development of predictive models
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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