74 computer-engineer-"https:"-"https:"-"https:"-"https:"-"https:" positions at Aarhus University
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responsible for a 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
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excellence, collaboration and career development across cardiovascular, diabetes and endocrine research. The ideal candidate will have demonstrated experience leading a research organisation, programme, or
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for Statistical and computational Methods for Advanced Research to Transform biomedicine (SMARTbiomed) within the field of statistical and machine learning methods development for genetic analysis and causal
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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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for teaching within public health, sport science, health science, nursing science, and related methodological disciplines, as well as a substantial part of the teaching in the medical degree programme. While
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disciplines, as well as a substantial part of the teaching in the medical degree programme. While firmly rooted in our respective disciplines, we actively foster interdisciplinary collaboration to advance
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the medical degree programme. The successful candidate will be expected to teach philosophy of science across these programmes. While firmly rooted in our respective disciplines, we actively foster
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for teaching within public health, sport science, health science, nursing science, and related methodological disciplines, as well as a substantial part of the teaching in the medical degree programme. While
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soon as possible thereafter. The position is a fixed-term full-time position for 3 years. Department of Clinical Medicine, Section for Bioinformatics and Computational Biology As a Postdoc at the
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mechanisms underlying protein–RNA interactions and their regulation. We combine structural, biophysical, cellular and computational approaches to understand how RNA-binding proteins recognise their partners