Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Lunds universitet
- KTH Royal Institute of Technology
- Chalmers University of Technology
- University of Lund
- Umeå University
- SciLifeLab
- Linköping University
- Uppsala universitet
- Chalmers tekniska högskola
- Karolinska Institutet (KI)
- Stockholms universitet
- Swedish University of Agricultural Sciences
- Sveriges lantbruksuniversitet
- Örebro University
- Nature Careers
- Umeå universitet
- Umeå universitet stipendiemodul
- Lulea University of Technology
- Luleå University of Technology
- Mälardalen University
- University of Gothenburg
- Sveriges Lantbruksuniversitet
- Linköpings universitet
- Blekinge Institute of Technology
- Luleå tekniska universitet
- Stockholm University
- Kungliga Tekniska högskolan
- Lund University
- Högskolan Väst
- Karlstads universitet
- Linneuniversitetet
- Malmö universitet
- chalmers tekniska högskola
- Chalmers Tekniska Högskola AB
- Chalmers tekniska högskola AB
- Göteborgs universitet
- Karolinska Institutet, doctoral positions
- The University of Gothenburg
- Chalmers
- Chalmers Tekniska Högskola
- Jönköping University
- Karlstad University
- Linkopings universitet
- Linnaeus University
- Malmo University
- Mälardalens universitet
- University of Borås
- Chalmers University of Techonology
- Chalmers te
- Chalmers telniska högskola AB
- Department of Chemistry and Molecular Biology, University of Gothenburg
- Department of Political Science
- Department of Political Science, University of Gothenburg
- Epishine
- European Magnetism Association EMA
- Faculty of Odontology, Malmö University
- Faculty of culture and society
- Fureho AB
- Göteborgs Universitet/ Institutionen för språk och litteraturer
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
- Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Institutionen för biomedicinsk vetenskap
- Karolinska Institutet
- Linköping university
- Linköpings University
- Luleå University of Tehnology
- NORDITA-Nordic Institute for Theoretical Physics
- RISE, Research Institutes of Sweden AB
- SLU
- School of Business, Society and Engineering
- Sveriges Lantrbruksuniversitet
- Swedish University of Agricultural Sciences (SLU)
- Södertörn University
- The Department of Marine Sciences
- The Institute of Neuroscience and Physiology
- The Royal Institute of Technology (KTH)
- Uppsala University
- 69 more »
- « less
-
Field
-
control (MPC) under uncertainty for autonomous systems. The research aims to develop state-of-the-art numerical methods for solving challenging belief-space optimal motion planning problems and their
-
, critical in the design of plasma confinement devices. Modus operandi in the project is to make progress on these difficult question via structure-preserving numerical methods (cf. "matrix hydrodynamics
-
structure of magnetized fluid models as well as an understanding of the physics behind such models. A prior knowledge of matrix hydrodynamics and structure-preserving numerical methods. You will need strong
-
-inspired and computationally efficient methods. Modern machine learning methods often depend on enormous datasets and extensive computing resources. This trend limits their scalability, increases
-
, developing and applying advanced computational methods to study cosmic structure. The project is funded by a Simons Foundation grant and is part of the international collaboration Learning the Universe
-
Engineers within the international master’s programme Mobility Engineering. About the research project This project aims to improve ship energy performance through the integration of AI, big data analysis
-
data with advanced numerical models of hull, engine, and propeller dynamics. By combining physics-based simulations with data-driven methods, the digital twin will enhance understanding of ship behavior
-
professional approach and analyse and work with complex issues. Additional qualifications that are advantageous (but not mandatory): Proficiency in numerical methods (FEM) and programming (Python, Matlab, C
-
5 Dec 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Engineering » Biomedical engineering Medical sciences » Other Physics
-
5 Dec 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application