Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- SciLifeLab
- KTH Royal Institute of Technology
- Mälardalen University
- Umeå University
- University of Lund
- Karolinska Institutet (KI)
- Linköping University (LiU)
- The Swedish University of Agricultural Sciences
- University of Skövde
- Uppsala University
- Uppsala universitet
- 2 more »
- « less
-
Field
-
23 Sep 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Physics, Department of Physics and
-
Do you want to contribute to groundbreaking research in the wind-powered ship propulsion field? This is an exciting opportunity for a postdoctoral position at the Division of Marine Technology
-
the position, and your previous research experience. a short CV (maximum 2 pages). Please provide in your CV a link to download a copy of your PhD thesis if it is available online. a list of papers and
-
Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine
-
of Dynamics, which belongs to the Department of Mechanical Engineering at Chalmers. The project will run within CHARMEC which is the National Centre of Excellence in Railway Mechanics. At the Department
-
to have a PhD degree in Production Engineering, Mechanical Engineering, Automation, Robotics, or another relevant technical field. The applicant must have completed the degree no more than three years
-
be met no later than the time the employment decision is made. Applicants should hold a PhD in Electrical Engineering, Computer Science, or a closely related field. Good collaboration skills who can
-
more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students. On the international level we collaborate with universities and institutes in Europe, Asia, and
-
Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with probabilistic
-
materials. The work may include development and application of AI-based protein design methods, experimental characterization of designed proteins, microbial engineering, biofilm design, and high-throughput