120 structures "https:" "https:" "https:" "Univ" positions at Aarhus University in Denmark
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education in quantitative genetics and quantitative genomics (http://www.qgg.au.dk/en). QGG is an international organization with 70 employees and visiting researchers from more than 20 countries. We perform
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Society at the Department of Food Science, Aarhus University ( http://food.au.dk/en/foodresearch/science-teams/food-quality-perception-society/ ). The position will be affiliated to science-based advice
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positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying, you will be asked to indicate, which of the areas listed on the page above are of interest to you
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university, seeks top students for attractive PhD stipends. The call is open until 1 February, 2026, with the earliest start date, 1 May, 2026. Please find more details and apply at https://math.au.dk/en/about
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information here: https://internationalstaff.au.dk/relocationservice/ Please find more information about research opportunities at Aarhus University here: http://international.au.dk/research/ Aarhus University
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at AU. You can read more about it here: http://talent.au.dk/junior-researcher-development-programme/ Terms of employment The appointment is made in accordance with the Memorandum on Job Structure for
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opportunities at Aarhus University here: http://international.au.dk/research/ Terms of employment The appointment is made in accordance with the Memorandum on Job Structure for Academic Staff at Danish
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on the design and control of a robotic system for the maintenance of DEMO breeding blankets, in close collaboration with key EU fusion partners. https://mpe.au.dk/en/research/key-areas-in-research-and-development
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. The ability to work critically with archaeological and ancient historical sources. A methodological and structured approach to work. Good organisation skills and excellent attention to detail. Flexibility and
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related field. • Experience with applied statistical analysis and data handling. • Understanding of data structures, experimental design, and reproducible workflows. • Good communication skills in English