142 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" positions at Chalmers University of Technology
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Research FieldTechnologyYears of Research Experience1 - 4 Research FieldTechnologyYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com
-
28 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Electrical engineering
-
28 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Electrical engineering
-
28 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Systems engineering
-
Research FieldPhysicsYears of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work
-
. Examples of domains that are possible to study include how the materials is used by students and teachers in different context and how it effect engagement and learning. For more information about the
-
. Information about the division and the project The Department of Microtechnology and Nanoscience advances the frontiers in quantum technology, nanoscience, photonics and future electronic systems
-
experiments. Information about the department The Department of Microtechnology and Nanoscience advances the frontiers in quantum technology, nanoscience, photonics and future electronic systems
-
FieldEngineeringYears of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s
-
This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification