Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Umeå University
- SciLifeLab
- Linköping University
- Lunds universitet
- Blekinge Institute of Technology
- Karolinska Institutet (KI)
- Lulea University of Technology
- Mälardalen University
- Luleå University of Technology
- Luleå tekniska universitet
- Swedish University of Agricultural Sciences
- Umeå universitet
- Umeå universitet stipendiemodul
- University of Lund
- Institutionen för biologi och miljövetenskap
- Karlstad University
- Sveriges Lantbruksuniversitet
- The Swedish University of Agricultural Sciences
- University of Skövde
- Uppsala universitet
- universitypositions
- 13 more »
- « less
-
Field
-
Electronics are conducting in English) In addition, the following areas are of particular merit: Experience with organic (bio)electronics, implant design, and/or conducting polymers (ideally all areas
-
Description We are now looking to appoint a postdoc in Soft Electronics, placed at the Department of Science and Technology, Campus Norrköping Research area The Laboratory of Organic Electronics (LOE, https
-
environment including several research groups with extensive experience in virology, biochemistry, structural biology, cellbiology and imaging. Both the Umeå Core facility for Electron Microscopy (http
-
spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions
-
and behavioural surveys. You will work directly with multiple municipalities and regions to design, implement, and refine monitoring and evaluation protocols including the monitoring framework for pilot
-
will work in the group led by Professor Paolo Monti, whose research focuses on transport network design, resilience, and AI-driven network automation for 5G and 6G infrastructures. About the research
-
. Methodological breadth: Strong competence in research methods relevant to the proposed project. Experience across more than one methodological tradition, or clear evidence of methodological versatility and the
-
packages, solve SLAM, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories
-
specially developed test rig that will be designed and built specifically for this purpose. The project is carried out in close collaboration with leading players along the entire value chain, including
-
product kinetics by ion implantation of advanced nuclear fuel (Uranium Nitride). The project is supported by the Swedish Radiation Safety Authority (https://www.stralsakerhetsmyndigheten.se/ ) and in