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capacity to relate theoretical topics to practical challenges and solutions, also in policies. Excellent skills in quantitative research methods and data handling. Experience in working with large individual
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for Quantitative Sustainability Assessment of the Department of Environmental and Resource Engineering (DTU Sustain). The section spearheads the development of sustainability assessment methods. You will become part
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to work closely with our academic and industrial partners on application-oriented methods and technologies, with the support of the unique set of equipment of the center. LSP is closely working together
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robotic control strategies that ensure precise, safe, and patient-friendly probe positioning. The candidate will be responsible for developing artificial intelligence methods for cardiac view identification
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with both academic researchers and industry experts across Europe. Your key responsibilities will include: Conduct analysis of polymer membrane waste materials Develop electrospinning methods to produce
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with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs, recovery of dual-comb measurement signals and
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student will become part of a team at DTU with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs
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methods for experimental validation of near-field interaction Fabrication, measurement, and assessment of one or more prototypes Dissemination of scientific results in highly reputed journals and
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
technologies to study cell signaling and protein modifications providing an essential element of the glycocalyx-focused research at CGR. As such, our core resources include proteomic, glycoproteome data and
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this area. Our group and research- and what do we offer? The group is a part of Department of Food Science, the section Ingredient and Dairy Technology at Faculty of SCIENCE, University of Copenhagen. We