Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Umeå University
- University of Lund
- SciLifeLab
- Lunds universitet
- Mälardalen University
- Swedish University of Agricultural Sciences
- Blekinge Institute of Technology
- Karlstad University
- Lulea University of Technology
- The Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- Uppsala University
- Uppsala universitet
- Institutionen för biologi och miljövetenskap
- Jönköping University
- Linköping University (LiU)
- Luleå University of Technology
- Sveriges Lantbruksuniversitet
- University of Borås
- University of Skövde
- 13 more »
- « less
-
Field
-
, drawing on machine learning where it strengthens these methods. The research supports mission-critical scenarios and feeds into an end-to-end resilience proof of concept developed together with Swedish and
-
evaluate models and control-oriented methods for flexible battery-based energy-storage systems. The position offers an interdisciplinary research environment involving automatic control, electrical
-
, drawing on machine learning where it strengthens these methods. The research supports mission-critical scenarios and feeds into an end-to-end resilience proof of concept developed together with Swedish and
-
research experience in areas such as cybersecurity, AI-supported systems, data-driven security, or closely related fields; has experience in implementing, evaluating, or applying AI/ML-based methods
-
. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within
-
pedagogical and didatic research methods and theories Expertise in quantitative methods and learning analytics for processing and analysing data What you will do Intitiate, plan and carry out practice-based
-
validation, the research will identify the structural and chemical features that govern their performance. Building on these insights, computational methods will be used to explore and design new composite
-
the electrode materials and electrolyte, the conduction mechanism, degradation and the relationship between manufacturing process and materials properties. The analysis relies on combining electrochemical methods
-
methods and predictive control strategies for solid-state batteries using data from parallel postdoctoral projects within the initiative. The research aims to improve the understanding of how operating
-
largest range of medical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with