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-based simulation model for assessing future mobility technologies in the Greater Copenhagen region. Explore the development of machine-learning based scenario discovery for future mobility policy design
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of innovative business models for unlocking the full potential of remanufacturing systems. The position focuses on developing an expert system for circular business model innovation that ensure the commercial
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sensors, data collection, and data management Collaborate with interdisciplinary teams and supervise student projects As a formal qualification, you must hold a PhD degree (or equivalent). You are also
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the opportunity to co-supervise BSc, MSc, and PhDs, and we expect you to actively engage with the team and make your expertise available to your colleagues. We seek a talented physicist with an
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PhD degree (or equivalent) in Environmental Engineering, Industrial Ecology, Design for Sustainability, Circular Economy, Remanufacturing, or a closely related field Experience with developing digital
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members including other synthetic chemists, protein biochemists and the proteomics and metabolomics core facilities. You should have a PhD in protein biochemistry and biophysics, with experience in
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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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and present at research seminars and conferences. Mentor and support students and PhD students engaged in related research activities. Promote equity and diversity within the research team, fostering
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to PhDs and support continuing education, all rooted in these scientific disciplines. We conduct research, teaching, and innovation of a high international standard – producing new knowledge and technology
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key responsibilities will include: Designing and implementing advanced LabVIEW and C++ based control software for our HS-DAFM platform Developing specialized signal processing algorithms and circuits