Sort by
Refine Your Search
-
Listed
-
Employer
- KTH Royal Institute of Technology
- Lunds universitet
- Chalmers University of Technology
- Karolinska Institutet (KI)
- Chalmers tekniska högskola
- University of Lund
- Umeå University
- Uppsala universitet
- Linköping University
- Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- SciLifeLab
- Lulea University of Technology
- Mälardalen University
- Sveriges Lantbruksuniversitet
- Umeå universitet
- Linköpings universitet
- Luleå University of Technology
- Luleå tekniska universitet
- Nature Careers
- University of Gothenburg
- chalmers tekniska högskola
- Chalmers
- Chalmers te
- Karlstads universitet
- Karolinska Institutet
- Linköping university
- Linnaeus University
- Linneuniversitetet
- Mälardalens universitet
- Sveriges Lantrbruksuniversitet
- 21 more »
- « less
-
Field
-
trustworthiness modeling in medical domain. The employment of full-time for two years starts in Feb 2026 or by agreement. The deadline for applications is Nov 28, 2025. Department of Computing science At our
-
are being strengthened. Subject and project description This project is focused on the development of high-fidelity reacting flow models to investigate thermal runaway in battery cells, pack, modules, and
-
for applications in virtual reality, gaming, digital assistants, and social robotics. We build on recent breakthroughs in spontaneous speech synthesis and gesture generation based on deep generative models to train
-
of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability theory and statistical signal processing, with applications in areas such as financial mathematics
-
senior researchers and doctoral students. Current research areas within the Department of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability
-
level. There is close collaboration with epidemiologists, clinicians, and research groups both nationally and internationally. Your mission The aim of this position is to evaluate models for early
-
comprehensive documentation of all research and data Fluency in written and spoken English Merits: Experience in bioinformatics and/or structural biology Experience working with a diverse range of plant model
-
interstellar medium”, funded by the Swedish Research Council (PI: J. Kainulainen). In this project, we combine novel observational data, such as Gaia-based dust density measurements, with advanced modeling
-
numerical simulation of models for magnetised fluids. About us This position sits right between two research groups at Chalmers: the Plasma Theory group at the Department of Physics and the Geometry and
-
. Research topics include: Development and validation of DORIS data processing and modeling Implementation of improved models for DORIS satellites and ground systems Cross-analysis of DORIS and other geodetic