Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Umeå University
- Lulea University of Technology
- University of Lund
- Karolinska Institutet (KI)
- Linköping University
- Luleå University of Technology
- Swedish University of Agricultural Sciences
- Jönköping University
- KTH Royal Institute of Technology
- Linnaeus University
- Nature Careers
- Sveriges lantbruksuniversitet
- Umeå universitet
- 4 more »
- « less
-
Field
-
intent to generate practical insights and solutions—particularly for startups or small- and medium-sized enterprises (SMEs). Main responsibilities Your major responsibility as postdoc is to perform your
-
Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world
-
develops over time, and how this development is affected by lack of mechanical stimulation, using a large animal model. The technical goal includes to develop, perform and analyse data from high resolution
-
publish them in highly-ranked conference proceedings and journals in the areas of, e.g., AI/machine learning, software engineering, high-performance computing and/or other areas of interest. To the extent
-
will perform research with substantial experimental components that should be published in peer-reviewed international journals and at major conferences. The position will include supervision of PhD and
-
(e.g. high strength steels, aerospace materials, refractories, porous ceramics and energy harvesting materials). Read more here Subject description Engineering materials includes the field of material
-
Council through project 2024-04957 “Compiling General-size Linear Algebra Expressions using Equality Graphs”. The postdoctoral researcher will be part of the High-Performance and Automatic Computing group
-
Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world
-
to develop a more sustainable and energy efficient method for recycling carbon fibre composites. The approach uses alternating magnetic fields to heat the material in a controlled way, breaking down
-
epidemiology to understand RNA metabolism. Perform stochastic simulations to analyze model behaviors. Fit the model parameters to empirical RNA expression and RNA-protein binding data. Predict outcomes