Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- Linköping University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- University of Lund
- Mälardalen University
- Jönköping University
- Linnaeus University
- Blekinge Institute of Technology
- Nature Careers
- 2 more »
- « less
-
Field
-
The Department of Architecture and Civil Engineering (ACE) at Chalmers University of Technology has approximately 250 employees, encompassing a broad theoretical and practical knowledge base. In ACE, the Division
-
This PhD position at Chalmers University of Technology offers an exciting opportunity to work in an interdisciplinary environment and receive training and support in materials design and synthesis
-
of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in
-
modelling at both catchment and road scales, incorporating input from relevant stakeholders.The candidate will gain extensive knowledge in hydrological modelling, climate adaptation, road engineering, and
-
Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
-
by an interdisciplinary team at Chalmers Department of Architecture and Civil Engineering , in collaboration with Gothenburg University and key stakeholders such as housing owners and the Swedish
-
where AI is used effectively in operations. The doctoral position is affiliated with the School of Business Administration at Umeå University, as well as current research conducted at the Department
-
Technology, Campus Norrköping. Your work assignments This position is motivated by the need for reliable visualization and data analysis methods that support understanding of the increasing amount
-
of data-driven precision tools, seeking to improve on current paradigms for clinical risk predictions and individualized diagnostic paradigms. Improving atherosclerotic risk prediction has been a primary
-
the Division of Vehicle Engineering and Autonomous Systems (VEAS) , with some collaboration from the Division of Vehicle Safety. VEAS is a research division with close ties to the local vehicle industry