108 parallel-processing positions at Aarhus University in Ireland-University-Ranking-2024 in Denmark
Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
-
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
-
The Department of Electrical and Computer Engineering at Aarhus University invites applications for a full-time, nine-month Research Assistant position in its Group of Integrated Photonics. Based in
-
The Department of Biological and Chemical Engineering at Aarhus University is looking for a Research and Technical Specialist to support the operation, development, and research activities
-
Queries regarding formalities in the application process and technical issues, should be directed to HR-Coordinator, Line Greve Brunhøi, email: [email protected] . Qualification requirements The qualification
-
to the operation, development, and maintenance of laboratory infrastructure across the department. The position involves collaboration with researchers, students, and technical staff in a broad range of experimental
-
candidate will support experimental work related to biogas production, biomass characterization, and process optimization. Tasks will include laboratory-scale anaerobic digestion experiments, analytical
-
individuals, teams, AI agents, and potentially human-AI teams. You will help design and develop the platform as a research instrument and analyze the processes that shape performance. What you’ll be working
-
service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account. The appointment is conditional
-
are software representations of physical assets, processes, or systems. They leverage real-time data to mirror the behaviour and characteristics of their physical counterparts, enabling predictive maintenance