Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Umeå University
- KTH Royal Institute of Technology
- SciLifeLab
- University of Lund
- Linköping University
- Luleå tekniska universitet
- Lunds universitet
- Mälardalen University
- Lulea University of Technology
- Uppsala universitet
- Institutionen för biologi och miljövetenskap
- Luleå University of Technology
- Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- universitypositions
- 6 more »
- « less
-
Field
-
is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
-
into real impact. At 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
-
9 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Chemistry » Computational chemistry Computer science » Other Physics » Other Researcher Profile
-
7 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Programming Computer science » Other Researcher Profile Recognised Researcher (R2
-
on the candidate’s profile and selected research track. About the research project DRIVE PR – Data-Driven Product Realisation is a large collaborative research initiative at Chalmers University of Technology and the
-
sustainable energy technologies. About us The Division of Chemical Physics conducts internationally recognized research at the interface of physics, chemistry, materials science, and data science. Our research
-
scattering (SANS/SAXS) Participation in experiments at large facilities (e.g. MAX IV, ESS, ISIS etc.) Processing and interpreting SANS/SAXS data both within the project and other projects in the research group
-
transport, aiming to promote more sustainable, safer, more efficient, and equitable mobility for various users. The research area emphasizes electrification, digitalization, AI and big data for infrastructure
-
formulations. All this research requires advanced characterization methods to study interaction, structure and beahaviour. The research group has well-established collaboration with the large-scale facilities
-
is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in