73 density-functional-theory-dft Postdoctoral positions at Technical University of Denmark
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of single indistinguishable photons for photonic quantum information technology. Single-photon sources play an important role in photonic quantum information applications, which generally require near-unity
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focus will be to strengthen the department’s competences within remote sensing for wind energy. You will work with nearby colleagues, and with both academic and industrial partners in Denmark as
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-disciplinary involving algorithmics, stochastic optimization, multi-criteria decision making, and data science. As part of the project, you will implement and test algorithms and further develop your skills in
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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
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printed hydrogel microfluidics and stem cell-derived liver organoids to advance the engineering of mature human liver tissue in vitro. You will work across disciplines, with access to world-class facilities
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structures and functionalities. The candidate will be in close collaboration with industry to enhance the sensitivity and multiplexing capability of biosensors for detection of various biomarkers for early
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Job Description The SURFCAT section at DTU Physics explores the use of catalysis and solar energy harvesting to secure renewable energy for the future. Novo Nordisk Fonden (NNF) has funded
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for carbon cycling, ecosystem functioning, fisheries, and services such as CO₂ sequestration. Despite their importance, many of these processes remain poorly understood due to Greenland’s remoteness and
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researcher, you will join an international research environment with strong and open scientific interactions. Specifically, you will: Take a leading role in shaping and driving enzyme characterization
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Job Description Are you worried about the coastal regions in an era of climate change and plastic pollution? Do you want to play a part in the development of a novel numerical model that can shed