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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
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probabilistic machine learning and geospatial sciences. Limited teaching may be arranged, if mutually agreed, in exchange for a contract extension. Qualification Requirements Applicants must hold a PhD degree in
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lived experiences of rural–urban transitions. Supervisor: Professor Pia Quist (Director of TRANSITION). Required qualifications PhD in sociolinguistics or related fields (e.g. linguistics, linguistic
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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
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Requirements Applicants must hold a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a closely related field. A strong research background and programming experience
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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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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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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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of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs
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of public-health professionals and PhD-students. The day-to-day work will be performed in close collaboration with other researchers in the Risk-benefit Research Group and within the project consortium