Sort by
Refine Your Search
-
Listed
-
Employer
- University of Lund
- SciLifeLab
- Umeå University
- Jönköping University
- Lunds universitet
- Chalmers University of Technology
- Karlstad University
- Nature Careers
- Örebro University
- Blekinge Institute of Technology
- KTH Royal Institute of Technology
- Kungliga Tekniska högskolan
- Linköping University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- The Faculty of Technology and Society
- Umeå universitet
- University of Skövde
- Uppsala universitet
- 9 more »
- « less
-
Field
-
graduate education programs. The position also involves a central role within the national infrastructure SwedNMR and a close connection to the WISE program for materials research. Collaboration with other
-
analysis of, for example, computational and communication cost, convergence and performance guarantees, robustness, and the handling of uncertainty and limited resources. The area includes, for example
-
estimations of existing Swedish nuclear power plants. The environment integrates three pillars: (i) fundamental understanding of ageing mechanisms in safety-critical polymer components under service-relevant
-
mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full professors and almost 50 senior
-
The Department of Gene Technology, at KTH Royal Institute of Technology, is looking to fill a position as Assistant Professor focused on innovative development and application of computational
-
references, letters of recommendation, etc.) We welcome your application. The Water4All Partnership – Water Security for the Planet – is a funding programme for scientific research in freshwater and has
-
biomedicine, biomolecular technology, and biodiversity converge working synchronously under one roof. With one of the highest concentrations of bioinformaticians and computational biologists in Europe, Campus
-
, international, and outward-looking work environment located in the lively city of Gothenburg on the west-coast of Sweden. The position is funded by the fellowship scheme of the Wallenberg National Program for
-
the field To be successful in this role you need to have the following qualifications Following a university curriculum High school level, computer knowledge, technical interest. Experience in high level
-
life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all