Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lulea University of Technology
- Linköping University
- Luleå tekniska universitet
- Lunds universitet
- Swedish University of Agricultural Sciences
- Umeå University
- Luleå University of Technology
- Mälardalen University
- Nature Careers
- Umeå universitet stipendiemodul
- Uppsala universitet
- Blekinge Institute of Technology
- Högskolan Väst
- Institutionen för akvatiska resurser
- Karolinska Institutet (KI)
- Linköpings universitet
- Luleå university of technology
- SciLifeLab
- Sveriges Lantbruksuniversitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- Umeå universitet
- 14 more »
- « less
-
Field
-
development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
-
of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges
-
development, and how this is controlled at the cellular and molecular levels. We are currently producing snRNA-seq and Stereo-Seq data from two mouse lung cancer models. You will take the responsibility
-
engineers, and researchers in materials science and nanotechnology. We are developing the superconducting quantum devices, control circuits, firmware, and methods required to make the quantum computer a
-
controls. Experience in working with Bacillus subtilis including cloning and strain construction, strong bioinformatics skills, and a proven track record of molecular and cell biology studies, preferably
-
for secondary frequency control. The developed methodologies will be validated experimentally using Chalmers’ existing laboratory infrastructure, which includes: A battery energy storage system A wind turbine An
-
sensor geometric sensor data with simulation for real-time control and adaptive assembly. This builds on existing work within the group on digital twins for geometry assurance. AI for automatic tolerance