Sort by
Refine Your Search
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- SciLifeLab
- Umeå University
- Swedish University of Agricultural Sciences
- Luleå tekniska universitet
- University of Lund
- Karolinska Institutet (KI)
- Lulea University of Technology
- Lunds universitet
- Institutionen för biologi och miljövetenskap
- Karlstad University
- Linköping University
- Linköping University (LiU)
- Luleå University of Technology
- Umeå universitet stipendiemodul
- University of Borås
- University of Skövde
- Uppsala University
- Uppsala universitet
- universitypositions
- 11 more »
- « less
-
Field
-
well as searches for signs of compositeness. Uppsala University is one of the founding members of the ATLAS experiment and the research group has many years of experience with di-Higgs searches and searches
-
-performance computing, particularly in the theory of efficient string and data structures, sequence indexing, and large-scale data analysis. Experience with the Burrows–Wheeler transform, pattern matching, and
-
-performance computing, particularly in the theory of efficient string and data structures, sequence indexing, and large-scale data analysis. Experience with the Burrows–Wheeler transform, pattern matching, and
-
size and complexity, there is an increasing need for computationally efficient predictive tools capable of resolving the underlying physical and chemical processes across multiple scales. The project
-
are robotics for mines, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception
-
. Contribute to an implementation strategy for national scale-up of digital caregiver support. Participate in co-design and evaluation of the programme’s language, structure, content, accessibility and digital
-
of new technologies, both established technologies like solar and wind as well as emerging technologies like hydrogen. The positions will be linked to a number of national projects and embedded in
-
learning. We are interested in privacy-preserving machine learning at a scale. Research group The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data
-
situations frequently require different team compositions, communication structures, or varying degrees of centralization and decentralization. The project aims to enable adaptive coordination, especially in
-
threatened by ash dieback. The successful candidate will contribute to developing the first Swedish-focused European ash pangenome, integrating long-read genome assemblies with population-scale sequencing