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, synthetic biology, and drug delivery science Have hands-on access to world-class infrastructure and cutting-edge techniques (e.g., electron/confocal microscopy, flow cytometry, DLS, FTIR) Join a highly
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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implied, the RIGOLETTO project will prepare the way for further exploiting the potential of RISC-V ISA (instruction set architecture) as a key technology to address the demands in the context of future
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, secure digital communication, medical technology, and new analytical methods. We use and develop basic theory, next-generation instrumentation, and software, and aim to make our data publicly accessible
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. This project will be part of the IDUN section, led by Professor Anja Boisen at DTU Department of Health Technology. IDUN is a highly cross-disciplinary research section with over 50 members that focuses
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to design mRNA vaccines for buccal delivery with the purpose of inducing local mucosal immune responses in the upper airways. This is achieved by the use of hollow microneedles as administration
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Department is part of the Digital Science and Innovation (DSI) area of Research & Early Development at Novo Nordisk, located in Maaloev (Denmark) and London (UK). We use innovative computational tools and
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are meteorology, mesoscale modelling, analysis and interpretation of meteorological datasets. We are also interested in hearing from researchers with oceanographic, as well as meteorological, science background
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Job Description Do you want to be part of a section that aims to reduce the time required for and increase the value of physical testing of wind turbine structural components by using high