Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Umeå University
- SciLifeLab
- KTH Royal Institute of Technology
- Blekinge Institute of Technology
- Karlstad University
- Linköping University
- Lulea University of Technology
- Luleå University of Technology
- Swedish University of Agricultural Sciences
- Umeå universitet
- University of Lund
- University of Skövde
- Uppsala universitet
- universitypositions
- 6 more »
- « less
-
Field
-
Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
-
Theory, Department of Environmental and Energy Sciences. Become a part of the team and contributing to research on current and future mobility service usage and attitudes among car and non-car owners
-
(https://github.com/LDMX-Software/ldmx-sw ), written in C++, maintained on github and configured via python. You will work with .root files and explore different event generators as well as machine
-
at the interface of automatic control, electrochemistry, and machine learning. The position will also involve close collaboration with another postdoctoral researcher working on a complementary project in physics
-
, ROS) Solid skills in numerical analysis Advanced knowledge of computer vision Experience in human–robot interaction Particularly Meritorious It is particularly meritorious if the applicant has: A PhD
-
are research in optimization and simulation of manufacturing systems. Teaching or other administrative tasks may be included up to 20 percent. The position requires: completed a PhD in mechanical engineering
-
contexts where multiple humans and multiple autonomous systems are involved. Runtime models (e.g., behavior trees or state machines) will be used to support adaptive coordination and increase the flexibility
-
be part of a larger interdisciplinary research team consisting of professors, researchers, engineers, and PhD candidates. It will be primarily affiliated with the Section for Genetics, Evolution and
-
within the Department of Electrical and Information Technology works broadly with research within Cryptography, Computer Security, Wireless and Fixed Networks. The security group has around 20 members
-
on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and