Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- University of Lund
- Nature Careers
- KTH Royal Institute of Technology
- Lulea University of Technology
- Karolinska Institutet (KI)
- Linnaeus University
- Jönköping University
- Linköping University
- SciLifeLab
- Sveriges lantbruksuniversitet
- Umeå University
- Umeå universitet stipendiemodul
- Luleå University of Technology
- The Royal Institute of Technology (KTH)
- Blekinge Institute of Technology
- Lund University
- Lund university
- Lunds universitet
- Mälardalen University
- Swedish University of Agricultural Sciences
- Umeå universitet
- University of Borås
- Uppsala universitet
- 14 more »
- « less
-
Field
-
The applicant is required to have a PhD degree in Software Engineering with a focus on Model-Driven Engineering and AI. The applicant must have completed the degree no more than three years before the end
-
the AMBER co-fund project - euraxess.se This position will be placed at the Biomechanics group, Department of Biomedical Engineering, Lund University. The interdisciplinary research is focused
-
at the department of Electrical Engineering conducts world-leading research in areas such as: Network automation, control, and management Fiber access and mobile transport networks Network sustainability
-
30 Aug 2025 Job Information Organisation/Company Luleå University of Technology Research Field Engineering » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline
-
of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a
-
23 Aug 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Mechanical engineering Engineering » Biomedical engineering Researcher Profile
-
Join a research team developing state-of-the-art open-source computational tools in a project that aims to create life-saving technology to prevent devastating skull fractures in elderly populations
-
analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination
-
of scientists and engineers of the MX group and MAX IV staff and the support (technical and scientific) of external users during their experimental beam time Dissemination and education activities directed to MAX
-
13 Sep 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Engineering » Civil engineering Engineering » Mechanical engineering Engineering » Other