Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- Karolinska Institutet (KI)
- Umeå University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Linköping University
- Mälardalen University
- University of Lund
- Umeå universitet stipendiemodul
- Uppsala universitet
- Blekinge Institute of Technology
- Karlstad University
- Lulea University of Technology
- Luleå University of Technology
- Luleå tekniska universitet
- The Swedish University of Agricultural Sciences
- Uppsala University
- Institutionen för biologi och miljövetenskap
- Sveriges Lantbruksuniversitet
- University of Skövde
- 12 more »
- « less
-
Field
-
structured manner, as well as excellent collaboration skills, be able to independently plan and conduct experimental studies and effectively manage and resolve unforeseen challenges, have experience with cell
-
collaborations Experience with evidence synthesis, meta-analysis, or other comparative methods Experience in experimental research with animals or other biological systems Experience in field ecology, animal
-
Engineering, Computer Engineering, Mechatronics Engineering, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering or other related subjects. Experience working on experimental
-
research and the application of XRD-CT. Develop experimental research exploiting XRD-CT for battery research. Participate in the BatMAX consortium, including planning beamtimes, conducting experiments
-
for experimental control, phase retrieval, and reconstruction. It will also include development of best practices for nanoCT on batteries, focusing in particular on minimizing radiation damage and enabling in
-
/expertise and previous experiences (max one page) Please submit your application before deadline 10 September 2026. You can submit your application by clicking the button below. Union representatives: https
-
-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna: http://ki.se/en/meb The gastrointestinal epidemiology group at the Department of Medical
-
. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
-
/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
-
/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability