Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Lunds universitet
- KTH Royal Institute of Technology
- Uppsala universitet
- Umeå University
- Karolinska Institutet (KI)
- Umeå universitet stipendiemodul
- Nature Careers
- SciLifeLab
- University of Lund
- Swedish University of Agricultural Sciences
- Linköping University
- Sveriges Lantbruksuniversitet
- Chalmers tekniska högskola
- Umeå universitet
- Örebro University
- Lulea University of Technology
- KTH
- Luleå University of Technology
- Luleå tekniska universitet
- Mälardalen University
- Linköpings universitet
- Lund University
- University of Borås
- University of Gothenburg
- chalmers tekniska högskola
- Chalmers
- Chalmers tekniska högskola AB
- Chalmers telniska högskola AB
- Göteborg Universitet
- Göteborgs universitet
- IFM, Linköping University
- Institutionen för växtskyddsbiologi
- Karlstads universitet
- Karolinska Institutet
- Linköping university
- Linköpings University
- Linnaeus University
- Linneuniversitetet
- Luleå tekniska universitet/Luleå University of Technology
- SLU
- Stockholms universitet
- Sveriges Lantrbruksuniversitet
- 33 more »
- « less
-
Field
-
values as a university and public authority. Learn more about our benefits and what it’s like to work and grow at KTH. Trade union representatives Contact information to trade union representatives
-
-modal prediction models for breast cancer, using both medical images (X-ray, pathology) and clinical and tumor genomic data. The project AID4BC (AI-based Precision Diagnostics and Decision Support for
-
. More information about the Division of Heat Transfer can be found here . Subject and project description Additive Manufacturing (AM) enables unprecedented design freedom for next-generation thermal
-
handling of complex data. Experience of scRNAseq experiments and data analysis is a merit. Experience in isolation, in vitro culturing and functional assays of primary immune cells is a requirement, as is
-
brain imaging methods as a window into human brain plasticity. Projects will combine new data acquisition with analysis of existing datasets, and may leverage: MRI (structural, diffusion, and functional
-
this, we will apply novel tools based on semi-permeable capsules, including various analytical and biochemical methods, molecular barcoding, sequencing, and high dimensional data analytics. The project will
-
mechanisms by which TEs regulate gene expression in the human brain, including through interaction with their epigenetic repressors such as DNA methylation. Importantly, our preliminary data revealed
-
combine experimental studies with the analysis of in vivo blood and muscle data. Since the project is translational, you will collaborate with both clinical and preclinical researchers as
-
often emphasizes the importance of asset diversification, there has recently been growing empirical support in research for the view that temporal information, in combination with diversification, plays a
-
cutting-edge, high-density data-driven research that impacts academia, industry, and policy worldwide. About the Programme Fellowship: each participant will benefit from a 36-month postdoctoral training