Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Lund
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Linköping University
- University of Gothenburg
- Stockholm University
- Linnaeus University
- Blekinge Institute of Technology
- SciLifeLab
- Umeå University
- Mälardalen University
- Chalmers University
- ETH Zurich
- Jönköping University
- Uppsala University
- 5 more »
- « less
-
Field
-
Doctoral student in Computer Science with focus on AI engineering Login and apply Lund University, LTH, Department of Computer Science Lund University was founded in 1666 and is repeatedly ranked
-
, mechanical engineering, mathematics, computer engineering, engineering acoustics, or another subject relevant to the research area Knowledge of numerical computational methods and/or FEM-based modelling
-
strength and an asset. Description of the workplace The position is in the research group led by Dr. Danqing Shi at the Department of Computer Science, Faculty of Engineering (LTH), Lund University. The
-
equivalent subject. Good knowledge of computer-aided engineering approaches, where nonlinear FEM, rule-based design, parametric design etc and general model-based systems engineering approaches are a
-
PhD in Electrical Power Engineering Skelleftea Reference number 4219-2026 Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our
-
PhD Student in Urban Water Engineering Lulea Reference number 3603-2026 Optimized and sustainable rehabilitation planning of urban water pipe and street networks Are you ready to take the next step
-
PhD Student in Urban Water Engineering Lulea Reference number 3514-2026 Data-driven understanding & predictive modelling of sediment accumulation in urban drainage infrastructures Are you ready to
-
PhD Student in Energy and Environmental Engineering with a Specialisation in Electrical Engineering Västerås Reference number 2026/0790 Apply The Faculty of Engineering and Health Sciences provides
-
The Department of Computer and Systems Sciences. With over 200 employees and 4,500 students, the Department of Computer and Systems Sciences (DSV) is a strong and dynamic research and educational
-
conducted in two major areas: computer science and engineering and visual and interactive computer science. There are a number of different research projects in both areas. Work description The Ph.D