216 phd-in-architecture-landscape-built-environment Postdoctoral positions in Denmark
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. superlattices) this architecture has unparalleled scope for quantum property design. Your particular focus will be on developing a novel characterisation platform that allows fully functional devices to be
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the wider scientific community Formal qualifications You must hold a PhD degree in chemical engineering, computer science, software engineering, data science, or a related discipline. We offer DTU is a
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. Research-based teaching in GNSS, geodesy, and surveying. The teaching must be conducted in Danish and English at bachelor’s (BSc) and master’s level (MSc) Co-supervision of BSc, MSc, and PhD projects Public
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supervise BSc and MSc student projects and co-supervise PhD students; As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized
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to the department’s advisory activities for the Danish Ministry of Environment, related to effects of Arctic contaminants. The postdoc is also expected to co-supervise graduate students, and to help secure funding
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packages, including deliverable preparation, milestone tracking, and communication across the consortium. What we offer We offer a dynamic and supportive research environment within an internationally
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and categorical quantum theory. The Department of Mathematics and Computer Science is an inclusive and international working environment with state-of-the-art facilities and strong traditions
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are required for the new generation of anti-fouling coatings. Anti-corrosive coatings Corrosion can lead to structure failures that have dramatic consequences for humans and surrounding environments. The use
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collaborate with PhD and other post doctoral fellows, in cross-disciplinary collaborations with other research groups both national and international as well as with industrial partners. Qualifications A PhD
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
digital twin technologies into production environments for continuous and radical optimization. The project benefits from the unique open-source data availability of the production system, and the findings