Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Lunds universitet
- Chalmers University of Technology
- Uppsala universitet
- Chalmers tekniska högskola
- Umeå University
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Lulea University of Technology
- SciLifeLab
- Linköping University
- Luleå tekniska universitet
- University of Gothenburg
- University of Lund
- Luleå University of Technology
- Swedish University of Agricultural Sciences
- chalmers tekniska högskola
- Chalmers tekniska högskola AB
- Göteborg Universitet
- Göteborgs universitet
- Karolinska Institutet
- Linköping university
- Linköpings University
- Linköpings universitet
- Lund University
- Mälardalen University
- Mälardalens universitet
- Nature Careers
- Sveriges Lantrbruksuniversitet
- Sveriges lantbruksuniversitet
- 19 more »
- « less
-
Field
-
4 Dec 2025 Job Information Organisation/Company Luleå University of Technology Research Field Engineering Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 11 Jan
-
, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several
-
14 Nov 2025 Job Information Organisation/Company Lunds universitet Department Lund University, LTH, Electrical and Information Technology Research Field Engineering » Electrical engineering
-
, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several
-
experience in the field of neurodegenerative disease. Experience with curation, preprocessing and/or analysis of neuroimaging data. Ability to independently perform large-scale data analyses. Excellent
-
-renal diseases. Our research spans large-scale register and laboratory data, causal and predictive modeling, and computational image analysis of kidney biopsies. About the Research Group: Led by Professor
-
these events in spite of their potential devastating effects on modern society. In this project we aim to push the limits of solar storm detection with indirect proxy data by measuring new high-resolution
-
laboratory-based research with large-scale trials in real production environments to develop globally applicable solutions that reduce food waste and enhance shelf life. Subject description Fruit and
-
original research papers in leading peer-reviewed journals. Supervise and mentor MSc and PhD students, co-supervising theses and guiding laboratory work and data analysis. Requirements: Strong knowledge and
-
: Strong programming skills, a valid driving license, and experience with large-scale 3D MT data acquisition, processing and inversion are essential. Experience in driving snowmobile and strong publication