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research activities of the School of Culture and Society , the Faculty of Arts , at Aarhus University at large, and beyond. Applicants should explicitly present their vision for the development of research
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. Relevant industrial R&D experience is an asset. About the Department of Electrical and Computer Engineering, Aarhus University The Department of Electrical and Computer Engineering is one of four engineering
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, neuroscience and personalised medicine. 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
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supervision, with generally positive student evaluations. Applicants must submit a teaching portfolio that carefully documents didactic/pedagogic competences, coordination of large courses, and contributions
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through both academic and non-academic channels The project is multidisciplinary and in the project you will join a large team of researchers from different universities and disciplines. For this reason it
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large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500
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large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500
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. This is enabled by an ambitious farm based infrastructure with large scale measurement of methane emissions and feed intake on individual cows, as well as collaborations with industry and international
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inflammation, membranes, neuroscience and personalized medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree
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operational in only a handful of labs worldwide. In this project, you will work with large-scale genomic datasets – generated in part using human kidney slices – to uncover key molecular pathways driving renal