Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Umeå University
- Lunds universitet
- SciLifeLab
- University of Lund
- Karolinska Institutet (KI)
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Luleå tekniska universitet
- Mälardalen University
- Uppsala universitet
- Blekinge Institute of Technology
- Karlstad University
- Linköping University
- Luleå University of Technology
- The Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- European Magnetism Association EMA
- Institutionen för biologi och miljövetenskap
- Jönköping University
- Linköping University (LiU)
- Sveriges Lantbruksuniversitet
- The Royal Institute of Technology (KTH)
- Umeå universitet
- University of Borås
- University of Skövde
- Uppsala University
- universitypositions
- 19 more »
- « less
-
Field
-
the division of Data Science and AI , we develop data-driven methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and
-
the division of Data Science and AI , we develop data-driven methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and
-
machine learning with a physics-based understanding of the growth process. Doping and processing of ultra-wide bandgap semiconductors present challenges, but it can enable electronic devices with
-
of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
-
Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
-
of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
-
19 Sep 2026 Job Information Organisation/Company Lunds universitet Department Lunds universitet Research Field Technology » Production technology Technology » Biotechnology Engineering » Chemical
-
27 Jun 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Engineering » Mechanical engineering Engineering » Other Researcher Profile Recognised Researcher
-
The Faculty of Engineering and Health Sciences provides education and conducts research in engineering, health and information design, with a clear focus on addressing societal challenges. Our
-
You will be part of the dairy group at the Division of Food and Pharma, in close collaboration with the membrane group at the Division of Chemical Engineering. The dairy group conducts research and