Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- Chalmers University of Technology
- University of Lund
- Linköping University
- Nature Careers
- Linnaeus University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Jönköping University
- KTH Royal Institute of Technology
- Mälardalen University
- Umeå University
- 2 more »
- « less
-
Field
-
Are you eager to work at the forefront of quantum technology and contribute to one of Sweden’s most ambitious research initiatives? We are looking for a postdoctoral researcher to join our team
-
Vision Group at the division of Signal processing and Biomedical Engineering develops intelligent systems for automatic image interpretation and perceptual scene understanding. Our research spans both
-
build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics) at the Department of Computer Science, Electrical and Space
-
knowledge or who has a degree from another country that is equivalent to a doctorate in forest products, industrial engineering or informatics, qualifies for the position. In accordance with the postdoc
-
aimed at building a high-performance quantum computer based on superconducting circuits. Our team includes a dynamic mix of PhD students, postdocs, and senior researchers working collaboratively
-
science. With a highly competitive startup package including funding for two PhD students, two postdocs, personal salary, access to state-of-the-art infrastructure (specifically NAISS, see https
-
Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
-
leading to production and harvesting in the regulated countries moving to unregulated countries. The position is part of a joint research program between Swedish University of Agricultural Sciences (SLU
-
year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
-
-based methods to improve cancer therapy Your profile Qualifications PhD in bioinformatics, computer science, biology, medicine, or mathematical statistics. Experience in cancer research and analyses