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The Department of Civil and Mechanical Engineering of the Technical University of Denmark (DTU) has an open PhD position (3 years) on the topic of “Automated machine polishing of complex mould
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Job Description If you are ambitious and seeking to contribute to developing novel chemistry for a sustainable future a possibility is right here for you. A 3-year PhD fellowship is available in
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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon
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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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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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DTU Management’s Management Science division. The project is led by Professors Stefan Ropke and Richard Lusby and involves international collaboration with leading researchers in machine learning and
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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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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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advancing your scientific career at a leading research institution. You will join two research groups at the DTU National Food Institute, Technical University of Denmark: “Food Production Engineering” and