41 econometrics-national-accounts Postdoctoral positions at Technical University of Denmark
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Job Description The Quantum Light Sources Group at DTU Electro is seeking a candidate for a Postdoc position in the field of experimental characterization of highly efficient solid-state sources
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international environment with over 50 colleagues in the QPIT group, gain access to state-of-the-art quantum optics laboratories, and collaborate closely with top global partners. Moreover, our group offers a
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in research and development of sustainable energy conversion technologies. We are recognized as global leaders in this field, supported by state-of-the-art facilities and deep expertise. Our
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this knowledge to society and future generations of engineers. The Department has approximately 300 staff from more than 30 nationalities. Technology for people DTU develops technology for people. With our
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DTU Bioengineering aiming to design novel Carbohydrate-Active enZymes (CAZymes) de novo (from scratch). Using state-of-the-art AI-based protein design tools, the project integrates computational design
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Chemistry at the National Food Institute, Technical University of Denmark (DTU). This is a full-time position within a dynamic and impactful environment where scientific excellence directly supports European
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simulation for next‐generation CO2 capture simulation techniques based on state‐of‐the‐art multiphase reaction algorithms and advanced thermodynamic models, and to improve the robustness and efficiency of CO2
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qualifications SelSiCELL must simultaneously improve both the photovoltage and the photocurrent compared to state-of-the-art c-Se solar cells - and ultimately - grow such high performance c-Se cells monolithically
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. If you are passionate about developing cutting-edge diagnostic technologies that can make a real-world impact, we encourage you to apply. We offer Access to state-of-the-art research facilities and
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FGFR isoforms. Recent advances in AI-driven protein design offer new opportunities to revisit the long-standing challenge of selectively targeting FGFRs. The project will use state-of-the-art AI-based