108 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Aarhus University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
to the research and infrastructure in the Plant Molecular Biology section (https://mbg.au.dk/en/research/research-areas/plant-molecular-biology ). Internal communication and teaching at the Department is primarily
-
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
-
contaminated water, wastewater, groundwater, drinking water and surface water and related environmental media. https://envs.au.dk/en/ https://projects.au.dk/waterpurification What we offer The department/centre
-
aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
-
computational biology with a strong focus on development of computational and statistical methods, particularly within machine learning and artificial intelligence. The applicant must have earned a PhD degree and
-
organoid culturing of animal tissue. Significant skills in the scientific communication of research results. For non-Scandinavian candidates, an effort to learn to read, write and speak Danish is a
-
the described area. Take the initiative in developing the research field and collaborate with national and international academic and industry partners. Teach and supervise students at the bachelor’s, master’s
-
. 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
-
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