61 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in Denmark
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international research network and good industrial and professional collaboration. Please refer to Department of Animal and Veterinary Sciences (au.dk) for further information about the department; https
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University Interdisciplinary Centre for Climate Change ( https://iclimate.au.dk/ ) What we offer The department offers: a well-developed research infrastructure, laboratories and access to shared
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Department of Animal and Veterinary Sciences (au.dk) for further information about the department: https://anivet.au.dk/en Place of work and area of employment The place of work is the Department of
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Sciences (au.dk) for further information about the department: https://anivet.au.dk/en Living in Denmark Please visit the international staff website: https://internationalstaff.au.dk/prearrival/ for
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-the-art mass spectrometry techniques, as well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position
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research network and good industrial and professional collaboration. Please refer to Department of Animal and Veterinary Sciences (au.dk) for further information about the department: https://anivet.au.dk
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Postdoctoral researcher position on monitoring tools for assessing animal health and welfare at t...
. Please refer to Department of Animal and Veterinary Sciences (au.dk) for further information about the department; https://anivet.au.dk/en Contact Further information on the position may be obtained
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information can be found at https://envs.au.dk/en/. The Environmental Microbiology section conducts research and science-based policy advice targeted towards the understanding of the fate and role of
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of Management at: https://mgmt.au.dk/ Further information The Department of Management offers a stimulating international environment. The department conducts research and covers teaching in a broad
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expertise in mouse metabolism with a willingness to learn and apply state-of-the-art mass spectrometry techniques, as well as develop or apply coding skills (R/Python) for large-scale data analysis