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of Science and Technology (NTNU) offers a joint 3-year PhD fellowship. Novel non-target chemical analyses have recently revealed that groundwater and drinking water are contaminated from PFAS, pesticide and
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deformation. Responsibilities Develop scientific machine learning methods in close collaboration with team members specializing in experimental techniques and materials science. Utilize unique experimental data
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, including EMODnet, trawl and dredge surveys, commercial catch and bycatch records, coastal vegetation data, citizen science catch rates, and environmental datasets from Copernicus. This will require working
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(femtoseconds to nanoseconds) to obtain novel insights into the fundamental physics and chemistry of processes in materials. You will work with ultrafast X-ray experiments using synchrotrons and XFELs, with a
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optics and a Ph.D. in physics, quantum information science, or a related field. Expertise in some of the following areas is expected: Expertise in quantum information processing, quantum optics, or related
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foods for the future? If you have knowledge within the area of allergy and protein-chemistry as well as have hands-on experience with cell-based in vitro models and are looking for a PhD fellowship
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to conduct interdisciplinary research at the interface between quantum physics and life sciences. Most importantly, we value intellectual curiosity, creativity, and the drive to do excellent science. What we
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Job Description The Quantum and Nanophotonics Section at DTU Electro is seeking a highly motivated postdoc to be a part of a program on ‘Symmetry-guided discovery of topological photonics’, led by