Sort by
Refine Your Search
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- Linköping University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- University of Lund
- Jönköping University
- Mälardalen University
- Nature Careers
- Blekinge Institute of Technology
- Linnaeus University
- Mid Sweden University
- Uppsala University
- 4 more »
- « less
-
Field
-
build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject, RAI, at the department of Computer Science and Electrical and Space Engineering at Luleå
-
build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject, RAI, at the department of Computer Science and Electrical and Space Engineering at Luleå
-
radioactivity. Important fields of application are radiotherapy to treat cancer, radiation diagnostics using X-rays, computed tomography, nuclear medicine and magnetic resonance imaging (MRI). We mainly work
-
organizations involving all parts of the biogas production system and has additional support from Swedish Energy Agency. The employment When taking up the post, you will be admitted to the program for doctoral
-
of forests in climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed
-
20 per cent of a full-time post. The employment is for a fixed term of four years full-time or up to five years when teaching part-time. Salary is set according to the salary ladder for PhD positions
-
and Architectural Engineering, and a two-year master’s program in Sustainable Structural Engineering. A Master of Science in Engineering program in Civil Engineering is currently under development
-
. These positions involve advanced numerical simulations and analysis of spacecraft data. The positions are full-time, 100% funded for four years and lead to a doctoral degree in Computational Physics. The expected
-
failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
-
build the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems