Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Chalmers University of Technology
- Stockholms universitet
- Umeå University
- Mälardalen University
- Lunds universitet
- Stockholm University
- Umeå universitet
- Uppsala universitet
- Chalmers Tekniska Högskola
- Chalmers University of Techonology
- Fureho AB
- Linkopings universitet
- Linköpings universitet
- Malmö universitet
- Mälardalens universitet
- Nature Careers
- School of Business, Society and Engineering
- SciLifeLab
- Sveriges lantbruksuniversitet
- University of Lund
- 11 more »
- « less
-
Field
-
development and industrial innovation. Knowledge of semiconductor physics or organic electronics or printing fabrication. Proficiency in spoken and written English. High self-motivation. Willingness and ability
-
or Python) - In-depth understanding of computer systems (assembly code, compilers) Important personal qualities are the ability to work in a team, communicate with colleagues, be curious and creative. About
-
multiphase flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid
-
educational backgrounds and combinations include: industrial engineering, computer science, artificial intelligence, information technology, or related engineering discipline. We expect you to have: Ability
-
related to staff position within a Research Infrastructure? No Offer Description We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute
-
Job related to staff position within a Research Infrastructure? No Offer Description We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who
-
Programme? Not funded by a EU programme Reference Number 853--1-27437 Is the Job related to staff position within a Research Infrastructure? No Offer Description We have the power of over 40,000 students and
-
We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental
-
to improve the power density and energy efficiency of redox flow batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex
-
of the previous period, to complete the PhD studies. SPACER aims to develop new architectures for porous electrodes to improve the power density and energy efficiency of redox flow batteries (RFB), enabling