72 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Technical University of Denmark in Denmark
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background checks may be conducted on qualified candidates for the position. DTU Entrepreneurship is amongst the international leading entities in technology entrepreneurship and helps develop
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contribute to the improvement of human health. A key focus of the department is the engineering approach to all aspects of biotechnology and biomedicine. This positions the department as a valuable player with
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Job Description If you have a keen interest in the development of technical solutions to promote the advancement of commercial fisheries this may be the perfect position for you. At DTU Aqua, your
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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well as experience working with animal models and/or cellular assays, and you are looking for an opportunity to put your skills into practise, you have it right here. The Research Group for Food Allergy at the DTU
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PhD students. Contributing to the teaching at the department to build your teaching portfolio for applying to academic positions. Participating actively in the research community, including attending
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control, open-source background checks may be conducted on qualified candidates for the position. Technology for people DTU develops technology for people. With our international elite research and study
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for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU Management conducts excellent research at the intersection of management, technology
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research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU Sustain
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will benefit from Lonza’s expertise and technology within peptide T cell immunogenicity, and the vast expertise within immunoinformatics and machine learning models at DTU to address this challenge