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we are The candidate will be part of the Skrydstrup group, an international group consisting of approximately 4 Post Docs and 8 PhD students, among other students and academic and technical staff
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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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production, making the identification of effective nutritional mitigation strategies an important area of research. While the feed additive Bovaer has received considerable attention for its methane-reducing
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these activities, you will help to strengthen the link between cutting edge research and education at the Department of Materials and Production, and you will take part in the day to day academic life
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designed to also support a range of advanced crystallographic experiments. As a result, planning, preparing, conducting, and supporting user experiments will be an integral part of the position. SINCRYS will
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the energy sector Start date: 1 January 2027, or as soon as possible thereafter. The research projects You will be part of national and international funded projects focusing on the development of next
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description CENSEMAT investigates crystalline energy materials in which non-random local deviations from the average structure play a decisive role. The postdoc will develop atomistic models that connect local
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teaching is also expected. The position is part of the GreenFjords project funded by the Independent Research Fund Denmark (DFF). The position has a fixed term of 2 years with start date 1 November 2026
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areas up until the deadline for application. As a successful candidate you are expected to: shine in individual and collaborative research, either to assist groups of bachelor’s students in doing homework
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perceptions of their future profession, and how they evaluate apprentices’ attempts to engage with these practices and perceptions. Particular attention will be paid to the role of nonhuman actors, such as