285 computational-physics "https:" "https:" "https:" "https:" "UCL" Postdoctoral positions in Denmark
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We are seeking applicants for a 2-year postdoc in Ultrafast X-ray probes of Quantum Materials to join us at the Department of Physics and Astronomy. Starting Date and Period The position is for 2
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
at Aalborg University’s Copenhagen campus. You will join the Building Physics research group at BUILD located at Copenhagen campus, which conducts research on correct construction techniques for both new and
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, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
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‑of‑the‑art nanofabrication facilities, advanced optical laboratories, and strong theoretical collaborations. Essential qualifications: A PhD degree (or equivalent) in physics, nanophotonics, quantum optics
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the fundamental understanding of molecular thermodynamics, and realize the importance of different types of properties in selecting the most physically sound thermodynamic model for water and electrolytes
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advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international
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? Then the Department of Electrical and Computer Engineering invites you to apply for a 2 year postdoc position bridging research with industrial implementation and innovation. Expected start date and
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of Public Health: https://publichealth.ku.dk/ International Staff Mobility: https://ism.ku.dk/ Application process Your application should be written in English and must include the following documents – all
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advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will