Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Karolinska Institutet (KI)
- Umeå University
- Linköping University
- Nature Careers
- Umeå universitet stipendiemodul
- Jönköping University
- Karlstad University
- Lulea University of Technology
- SciLifeLab
- Umeå universitet
- University of Lund
- IFM/Linköping University
- KTH Royal Institute of Technology
- Linköpings universitet
- Linnaeus University
- Linneuniversitetet
- Luleå University of Technology
- Mälardalen University
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- Uppsala universitet
- 14 more »
- « less
-
Field
-
channels, transporters, and stress signaling systems. The project requires thorough knowledge of bacterial cell biology and molecular genetics as well as hands-on experience with cloning, live-cell
-
and molecular genetics as well as hands-on experience with cloning, live-cell fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model
-
of infancy, primary immunodeficiencies are now viewed as more common, also explaining disease in children, adolescents, and adults. With high-throughput genetics, rare, potentially disease-causing variants can
-
and tomographic radar capabilities. Our team is responsible for the algorithms which derive the biomass data product. The post-doc project is about extending the biomass algorithm to also include data
-
, modulation classification, sensing, and adaptive spectrum optimization in diverse operational environments. Your work will focus on modeling and algorithmic aspects related to the development of highly
-
algorithmic aspects related to the development of highly accurate, efficient, and robust AI models capable of operating effectively within complex and dynamic radiofrequency spectral landscapes, accounting
-
isolation algorithms and data-driven classifiers. As postdoc, you will principally carry out research. You are expected to actively publish and present results in scientific journals and conferences. A
-
performance should improve over time as more data becomes available. The diagnostic conclusions will be presented to an operator using a combination of AI-based fault isolation algorithms and data-driven
-
We are seeking a postdoc to co-design efficient and realistic simulation algorithms for noisy quantum circuits in superconducting hardware, combining quantum modeling with hardware-aware performance
-
tree. In fact, the problem being NP-hard, a handful of aircraft is enough to make it unsolvable in polynomial time. The work requires theoretical studies on the state of the art, together with algorithm