55 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at Aarhus University in Denmark
Sort by
Refine Your Search
-
grasslands and evaluation of land-use intensity, Expertise in classification with machine-learning methods, statistics, spatial analysis and land-use modeling, Experience and interest in conducting fieldwork
-
and 95 PhD students. The department is responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk
-
. Researchers in the section teach the BSc and MSc programmes in animal and veterinary science and supervise PhD students and conduct research-based public sector consultancy for national and international
-
. You can read more about the Department of Management at: http://mgmt.au.dk . Further information For further information about the position and the department, please contact the Director of the Center
-
the scientific communication of research results. For non-Scandinavian candidates, an effort to learn to read, write and speak Danish is a requirement. What we offer A well-developed research infrastructure
-
Mathematics. The positions have 1st September 2026 as earliest possible start dates. There are postdoc positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying
-
these experiences teach them lessons about their own fit in politically powerful positions. The two positions advertised in this call focus primarily on the second work package. The YOPOW research project runs
-
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
-
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
-
tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise