Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Linköping University
- Umeå University
- Lunds universitet
- University of Lund
- KTH Royal Institute of Technology
- Chalmers tekniska högskola
- Karolinska Institutet (KI)
- Luleå University of Technology
- Nature Careers
- SciLifeLab
- Swedish University of Agricultural Sciences
- University of Gothenburg
- Linköpings universitet
- Lulea University of Technology
- Lund University
- Umeå universitet stipendiemodul
- Göteborgs universitet
- Linköpings University
- Linnaeus University
- Linneuniversitetet
- Mälardalen University
- Mälardalens universitet
- Sveriges Lantrbruksuniversitet
- Sveriges lantbruksuniversitet
- Umeå universitet
- Uppsala universitet
- chalmers tekniska högskola
- 18 more »
- « less
-
Field
-
that contribute to new breeding tools and accelerates discovery. The position will offer opportunities to explore several approaches to solve the optimisation strategies including simulation-based, big data
-
and experience in: Handling and analyzing large datasets of genetic and coronary imaging data. Apply relevant statistical techniques to analyze registry-ascertained health outcomes in women Execute
-
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
-
data from an eddy covariance flux tower to explore the ecosystem-scale carbon balance and evapotranspiration fluxes in a typical northern crop rotation. Data collection will take place within a large
-
data for urban characterization. The work includes developing algorithms, performing large-scale analyses, and collaborating with partners across disciplines in remote sensing, urban studies, and climate
-
and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination of human-centered data analysis and
-
29 Oct 2025 Job Information Organisation/Company Chalmers tekniska högskola Research Field Physics Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 30 Nov 2025 - 12
-
values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
-
evaluated on downstream tasks in recognition, segmentation, translation and retrieval. You will work with large multilingual datasets as well as unique Swedish sign language data through our collaboration
-
treatment. Develop methods and models that can predict the course of the disease by analyzing detailed data on the immune system and metabolism. We are conducting a large study, the CoVUm study, involving 579