145 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Dr" "Dr" positions at Aarhus University in Denmark
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at all levels, including PhD students. Our study programme portfolio in engineering consists of an MSc in Engineering (Technology Based Business Development) as well as two Bachelor of Engineering
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for ensuring biosecurity for animals kept outdoors Development and evaluation of a training and testing programme targeting European pig inspectors to monitor tail lesions at slaughter The preferred candidate
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This is a full-time (37 hours/week) on-site role located in Aarhus, Denmark for a Postdoctoral Research Fellow at the Department of Computer Science, Aarhus University. This position is for 2 years
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-art molecular and metabolic lab with a highly motivated and collaborative team of researchers, which is reflected in our use of English as the day-to-day language. https://corc.au.dk/corc-research
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information about the department; https://anivet.au.dk/en Contact Further information on the position may be obtained from Senior Researcher Stig Purup, phone: +45 29345955 , email: stig.purup@anivet.au.dk
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Computer Engineering, please visit https://ece.au.dk/ See more about our activities on LinkedIn: https://www.linkedin.com/company/au-ece What we offer The department offers: a well-developed research
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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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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/en Contact Further
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. Together with your co-mentor, you will have the opportunity to shape and develop the mentor programme so it aligns with your strengths and the needs of your group. Your work will be supported by the BCE
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural