Sort by
Refine Your Search
-
Listed
-
Employer
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Lunds universitet
- Chalmers University of Technology
- Sveriges Lantbruksuniversitet
- University of Lund
- Uppsala universitet
- KTH
- Linköping University
- Linneuniversitetet
- Mälardalen University
- Mälardalens universitet
- Stockholms universitet
- Umeå University
- Umeå universitet
- 5 more »
- « less
-
Field
-
, or as agreed upon. The Department of Computing Science has been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven research environment. Our workplace consists
-
Researcher (R2) Country Sweden Application Deadline 22 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
with regression tasks and quantitative model evaluation. You have a good publication record in leading remote sensing journals and/or computer vision conferences. You can communicate clearly in English
-
Deadline 23 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
-
), research is carried out in computer vision, robotics and machine learning. We are now looking for two postdocs in robotics and machine learning and computer vision. The successful candidates is expected
-
) Country Sweden Application Deadline 13 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
-
8 Nov 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Programming Computer science » Other Mathematics » Computational mathematics
-
2 Oct 2025 Job Information Organisation/Company Linneuniversitetet Research Field Information science Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 16 Oct 2025
-
of the Saragovi Lab is to develop and apply a combined computational, Artificial Intelligence (AI) and high throughput experimental approach to systematically infer protein-semiconductor hierarchies materials and
-
hardware and radio systems to distributed cloud platforms and applications. This broad expertise enables research that seamlessly connects connectivity, computation, and cloud-native design. To The Division