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. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the
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research plan detailing the candidate’s ideas and plans for her/his future research work If you experience technical problems, you must contact hcm-support@sdu.dk . Please note that all the above-mentioned
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higher education STEM The department hosts several major externally funded research initiatives, including the cross-institutional University Science Education (USE) Programme, funded by the Novo Nordisk
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harms of novel treatments or intervention programs, and pragmatic implementation studies conducted in collaboration with external partners e.g., in primary care. The candidate should also support ongoing
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of Danish or a willingness to learn. A strong independent working style and the ability to plan and execute complex tasks effectively. A passion for knowledge transfer and the ability to document and share
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responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 425 academic employees and the same number of PhD students cooperating across disciplines. As
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.-students enrolled in the Doctoral School in Medicine, Biomedical Science and Technology, and 1,900 students in our bachelors and master’s programs. We hold state of the art research and teaching facilities
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relevant. Advanced numerical modelling or programming skills are not required. The position is suitable for both recently graduated PhD candidates and applicants with postdoctoral experience. Language
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foci of the degree programmes, the successful applicant will be expected to teach in both Danish and English. The successful applicant must complete Aarhus University’s teacher-training programme for
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are to: Build a value chain decision-making tool based on mixed-integer linear programming Develop sensitivity and uncertainty assessment algorithms to assess various scenarios in a biofuel value chain Support