Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Chalmers University of Technology
- Linköping University
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- SciLifeLab
- Sveriges lantbruksuniversitet
- Nature Careers
- University of Lund
- Uppsala universitet
- Stockholms universitet
- Jönköping University
- Lunds universitet
- Mälardalen University
- Umeå universitet
- KTH Royal Institute of Technology
- Linnaeus University
- Luleå University of Technology
- Malmö universitet
- Mid Sweden University
- 10 more »
- « less
-
Field
-
high-quality research on interpretable and learning-based stochastic optimal control for over-actuated electric vehicles, with a focus on ensuring robustness and fail-safe operation. You will: - Develop
-
Are you passionate about advancing sustainable mobility solutions? Do you enjoy working at the intersection of artificial intelligence, optimization, and energy management? We invite applications
-
into two main areas: (1) material development and characterization to ensure optimal sensing and mechanical performance, and (2) structural evaluation of SS-FRCMs under environmental stressors such as freeze
-
of terahertz electronics. In this role, you will work closely with world-class research groups and industrial collaborators, benefiting from state-of-the-art facilities. Your research will push the boundaries
-
is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
-
is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
-
”. This project broadly addresses the role of gene expression in how novel, potentially adaptive, variation can arise from hybridization. While the specific questions that will be addressed will be
-
teach bachelor, Masters and PhD level courses addressing all of these subject areas. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu
-
is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
-
will use machine learning methods to develop affinity ligands. These methods have been transformative for protein design, allowing generation of novel proteins which can suit a precise need. In this 4