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Job Description If you would like to advance new knowledge about how generative AI is reshaping public sector work - and you have expertise in sociology of professions, STS, or public administration
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processing contaminants in food, including 3-monochloropropanediol, and GE for glycidyl fatty acid esters - Operate, maintain, and troubleshoot advanced analytical instruments - Plan and support laboratory and
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are looking for two new postdocs. You will join a new research program on the role of universities and entrepreneurial ecosystems in building deep tech startups and scaleups. You will work towards building a
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perfluorinated alkyl substances (PFAS) from waste management facilities. Foreign and Danish studies have shown that landfills and wastewater treatment plants are important sources of PFAS to the aquatic
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, or equivalent research background. Your background might include experience in areas such as: Large datasets management, preferably with modeling, statistical or LCA background Uncertainty analysis, statistical
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management and interdisciplinary collaboration, working alongside material scientists, environmental and resource engineers, and industry leaders in various EU and Danish innovation projects. Together, we will
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resources. As this is a new group, you will actively shape its direction and growth alongside the PI, Dr. Thomas Crouzier, a recognized expert in mucin biology, biomaterials, and therapeutic innovation. Dr
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the project Co-managing the project activities, representing DTU in project meetings, coordinating and collaborating with project partners, and supervising students and research assistants working in