Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Karolinska Institutet (KI)
- University of Lund
- Umeå University
- Uppsala universitet
- Linköping University
- Nature Careers
- Swedish University of Agricultural Sciences
- KTH Royal Institute of Technology
- SciLifeLab
- Umeå universitet stipendiemodul
- Lulea University of Technology
- Umeå universitet
- Luleå University of Technology
- Jönköping University
- Luleå tekniska universitet
- Sveriges Lantbruksuniversitet
- Örebro University
- Blekinge Institute of Technology
- IFM, Linköping University
- KTH
- Mälardalen University
- SLU
- University of Borås
- Göteborg Universitet
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- Institutionen för växtskyddsbiologi
- Karlstad University
- Linnaeus University
- Linneuniversitetet
- Luleå tekniska universitet/Luleå University of Technology
- Luleå university of technology
- Lund University
- Stockholms universitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- University of Gothenburg
- 29 more »
- « less
-
Field
-
data analysis (sensor integration, data acquisition, signal processing, and indicators based on vehicle–bridge interaction), as well as structural validation in real-world environments through comparison
-
evaluating efficient and scalable techniques for systems that process and answer such queries (e.g., query optimization algorithms, adaptive query processing approaches). Conducting this research work includes
-
and expertise in brain imaging (MRI), image processing and machine learning. Coordinating projects within the research group, supervising students and writing applications are also included in the role
-
scientific ambition. Access to world-class facilities at SciLifeLab and KTH for spatial omics, single-cell genomics, high-resolution imaging, and computational infrastructure. Close mentorship with
-
omics, single-cell genomics, high-resolution imaging, and computational infrastructure. Close mentorship with opportunities to lead projects, co-supervise students, and develop research independence
-
teaching and learning. The work duties include: The post-doctoral fellow will investigate how stellar and geomagnetic information is sensed and processed by the Australian Bogong moth Agrotis infusa, a model
-
combines spatial point process models for the emergence and arrangement of objects (including birth-death dynamics, merging, and non-overlap constraints) with methods from shape analysis, in particular
-
of transport and contributes to environmentally friendly process technology and sustainable energy supply. Through collaboration with the society and industry, we strive to solve society's major challenges
-
. Documented experience with bioinformatics and/or multi‑omics cancer data integration (e.g. genomics, transcriptomics, proteomics, imaging). Experience from interdisciplinary collaboration with biologists
-
At the Department of Electrical Engineering , research and education are conducted in Communications, Antennas and Optical Networks, Systems and Control, Signal Processing and Biomedical Engineering