70 civil-engineering-soil-structure-interaction Postdoctoral research jobs at Technical University of Denmark in Denmark
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interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules
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interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules
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considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject
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Biomedicine (DTU Bioengineering) in the research group “Biomass Conversion and Bioprocess Technology” (BCBT group). With this position, we want to expand our research in biomass conversion and sustainable
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given to: Research experience in seafood science and technology Experience with chemical and/or microbial analysis Some knowledge or experience with product development activities Supervision and teaching
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, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background
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research will help to improve the environmental and economic sustainability of commercial fisheries. You will join the Section for Fisheries Technology at DTU Aqua in Hirtshals. The section has 21 employees
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glycoproteins essential for the health of mucosal surfaces. Our goal is to leverage cutting-edge mRNA technology to induce mucin overexpression in vivo, opening new therapeutic avenues for diseases linked
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in working with environmental sampling at Danish utilities. Applicants can have a background in chemistry, environmental sciences and engineering, or related fields, who have practical experience from
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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