Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
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
-
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
-
within 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
-
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
-
The Faculty of Arts is internationally leading for its research (https://www.arts.kuleuven.be/english/research ), home to a broad array of specializations and notable for the strong connection it
-
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
-
information here: https://internationalstaff.au.dk/relocationservice/ Please find more information about research opportunities at Aarhus University here: http://international.au.dk/research/ Aarhus University
-
on the design and control of a robotic system for the maintenance of DEMO breeding blankets, in close collaboration with key EU fusion partners. https://mpe.au.dk/en/research/key-areas-in-research-and-development
-
opportunities at Aarhus University here: http://international.au.dk/research/ Terms of employment The appointment is made in accordance with the Memorandum on Job Structure for Academic Staff at Danish
-
quantitative methods (e.g., regression, multilevel modeling, structural equation modeling) is an advantage. Interest and/or experience with experimental, big data, and/or mixed methods research designs. Strong