Sort by
Refine Your Search
-
Listed
-
Employer
- Linköping University
- Uppsala universitet
- KTH Royal Institute of Technology
- Lunds universitet
- Chalmers University of Technology
- Karolinska Institutet (KI)
- Nature Careers
- Umeå University
- Linnaeus University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Jönköping University
- Karlstad University
- Sveriges lantbruksuniversitet
- Umeå universitet
- University of Lund
- 6 more »
- « less
-
Field
-
to develop solutions with real world relevance and impact. This project will be carried out in close collaboration with researchers from the Division of Material and Computational Mechanics at IMS and the
-
Exciting postdoc opportunity in integrating photosynthetic living organisms in materials and devices! Work assignments Are you passionate about developing the next generation sustainable
-
insect material from the Insect Biome Atlas (https://www.insectbiomeatlas.org/ ) and Lifeplan (https://www.helsinki.fi/en/projects/lifeplan ) projects. The material consists of around 50,000 Malaise trap
-
The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our
-
application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
-
doctoral degree in Computer Science, with additional documented education in Materials Science at graduate or undergraduate level, that is also qualifying for the position. The applicant must have extensive
-
” combines material modelling, computational mechanics and parameter identification. Join us in exploring this exciting field of research with opportunities for interdisciplinary collaboration with
-
and graduate level at the department. Read more at https://www.physics.uu.se . About the project We are engaged in the field of computational materials science, with a focus on magnetic materials
-
of organic semiconductor materials. Work assignments This project, funded by the Wallenberg Academy Fellows programme https://kaw.wallenberg.org/en/research/creating-greener-semiconductors , aims to provide a
-
the forefront in atomic-level studies of atoms, molecules and condensed matter. This division includes the research programme Condensed Matter Physics of Energy Materials, with a special focus on