Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- SciLifeLab
- Umeå University
- Blekinge Institute of Technology
- Lunds universitet
- Uppsala universitet
- Linköping University
- University of Lund
- Lulea University of Technology
- Luleå University of Technology
- Örebro University
- Swedish University of Agricultural Sciences
- Umeå universitet
- Umeå universitet stipendiemodul
- University of Skövde
- European Magnetism Association EMA
- Göteborgs universitet
- Helmholtz-Zentrum München
- Karlstads universitet
- Karolinska Institutet, doctoral positions
- Linnaeus University
- Linnéuniversitetet
- The Faculty of Technology and Society
- The University of Gothenburg
- The University of Skövde
- University of Borås
- Uppsala University
- universitypositions
- 19 more »
- « less
-
Field
-
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
-
Systems conducts research and education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Read more about us here: https://liu.se/en
-
description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
-
processes, mass transports, circular material flows and charging constraints. Methodologically, the work may combine geospatial data management, database technology, data science, machine learning, simulation
-
3 Jul 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Computer engineering Engineering » Control engineering Engineering » Electrical
-
our laboratories. Research activities at the division are organized in two research units: (1) Electrical Machines and Power Electronics, and (2) Power Grid and Components. In the research unit
-
aims to explore to which extent machine learning methods can help with these tasks, e.g. object reconstruction and signal/background discrimination. This will be a focus in the project. One exciting
-
emerging research field that uses machine learning, data analysis and computational modelling to guide the discovery, characterization and optimization of new materials. By accelerating innovation cycles, AI
-
consists of method development, in which existing simulation techniques are further developed using machine learning algorithms to enable more efficient, scalable, and realistic simulations and material
-
: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions carried out and