Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Umeå University
- Karolinska Institutet (KI)
- KTH Royal Institute of Technology
- Linköping University
- SciLifeLab
- University of Lund
- Göteborgs Universitet, Institution för kemi och molekylärbiologi
- Göteborgs universitet, Department of Marine Sciences
- IFM, Linköping University
- Linköpings universitet
- Lunds universitet
- Sveriges Lantbruksuniversitet
- Umeå universitet
- Uppsala universitet
- 5 more »
- « less
-
Field
-
for physical AI and physics‑based simulation for complex mechanical systems. We are now seeking a postdoctoral researcher for a project aiming at physics‑informed autonomous control of machines operating in
-
AI and physics‑based simulation for complex mechanical systems. We are now seeking a postdoctoral researcher for a project aiming at physics‑informed autonomous control of machines operating in rough
-
17 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Electrical engineering Engineering » Other Physics » Applied
-
17 Apr 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science » Other Researcher Profile
-
background check may be conducted as part of the application process. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by
-
northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
-
. At the Division of Systems and Synthetic Biology biologists, chemists, mathematicians, and engineers work together with the goal of understanding and quantitatively describing the complex functioning of living
-
suitability, scientific curiosity, and motivation. Additional merits Experience in one or more of the following areas will be considered a strong advantage: Complex cellular systems, including organoid models
-
programming, physical modeling, machine learning, signal processing, and control engineering. Experience in implementing and integrating different methods in complex systems is considered meritorious. You
-
. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components. The aim is that fault diagnosis