31 computer-science-intern-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Aarhus University
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
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address) as well as the name of the position you have applied for to: HR.Nattech@au.dk Formalities and salary range Natural Sciences refers to the Ministerial Order on the Appointment of Academic Staff
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collaborative relationships. Read more about the Department of Food Science at: https://food.au.dk/ The place of work is Department of Food Science, Aarhus University, Agro Food Park 48, Skejby, 8200 Aarhus N
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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an international multidisciplinary research centre based at Aarhus University’s Department of Clinical Medicine. Our research groups are supported by state-of-the-art laboratory facilities and have
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Computer Engineering, you will also work closely with the geophysicists from the Hydrogeophysics Group (HGG) at the Department of Geoscience, as well as international partners in Ethiopia. You will also have
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laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine
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landscape analyses with backgrounds in biogeochemistry, agronomy, biology, geography, and social sciences from Aarhus University and University of Copenhagen, as well as our international partners: Colorado
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advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international
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with international and interdisciplinary colleagues. There will be close collaborations with colleagues at the University of Wisconsin-Madison and Virginia Tech (USA). In the Computational Limnology team