Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- University of Lund
- Nature Careers
- Umeå University
- Swedish University of Agricultural Sciences
- Linköping University
- Linnaeus University
- SciLifeLab
- Lulea University of Technology
- Jönköping University
- Mälardalen University
- Blekinge Institute of Technology
- KTH Royal Institute of Technology
- The Royal Institute of Technology (KTH)
- University of Borås
- 5 more »
- « less
-
Field
-
of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. For more information about the total announced post-doctoral positions within
-
We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
-
the produced spectral data. Scientific writing Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD
-
master's and/or PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. The position is meritorious for future research duties within
-
, and University West. All towards a common goal. Ten new postdoctoral positions are planned, with the first five scheduled to start in 2025. In addition to this team, researchers and engineers from
-
are assessed by the PIs of each project, respectively. For detailed information about every project, click the link. 1. Evolution of Scots pine forests since the last glacial maximum https://www.umu.se/en/ucmr
-
the polymer matrix while preserving the quality of the fibres. Information about the division and the department The position is based in the Division of Materials and Manufacture at the Department
-
workplace free from discrimination and with equal opportunities for all. Further information about the position can be obtained from Associate professor Marc Friedländer, phone: 0737-121558, marc.friedlander
-
new methods incorporating transformer models, graph neural networks, and self-supervised learning approaches that can extract deeper biological insights from genomic data. Join us in this exciting
-
research, addressing the big data and artificial intelligence challenges of our industry partners. Field of subject for the position: Computer Science Placement: Department of Computer Science and Media