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circuits in thin-film lithium niobate (TFLN) [Zhu2021] and tantalate (TFLT) [Powell2024]. Using the ultrafast Pockels effect in TFLN/TFLT, you will build high-speed cavity-based components [Larocque2024
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tools are transforming professional work. You will work with a team of leading researchers, contribute to high-impact studies, and engage with public institutions to inform real-world AI implementation
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optimizing heat transfer, cost-effectiveness, and integration with façade panels. We aim to create scalable, sustainable building solutions. The project is integrated in an international project financed by
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research in seafood products as one of its focus areas. The group has a dynamic staff with high international visibility, many research collaborations with leading international universities and
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drive. In particular, we are looking for academic excellence and/or demonstrated scientific achievements. We also expect you to have a strong ability to conceive new ideas, construct high-performance
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, e.g., demonstrated by a track-record of high-impact publications Previous work in inverse design / topology optimization We offer DTU is a leading technical university globally recognized
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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
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well as contributing to other research and advisory activities in our research group. You’ll work hands-on with high-end GC-MS instrumentation (and other analytical equipment) and collaborate closely with researchers
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-small silicon nanocavities [Babar2023, Rosiek2023] with extreme light-matter interactions. We aim to combine fundamental theory, device design, and our unrivalled capabilities in high-resolution silicon