Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Lunds universitet
- KTH Royal Institute of Technology
- University of Lund
- Uppsala universitet
- Jönköping University
- Luleå tekniska universitet
- Swedish University of Agricultural Sciences
- Umeå University
- Umeå universitet
- University of Gothenburg
- Högskolan Väst
- IFM, Linköping University
- Karlstad University
- Karolinska Institutet (KI)
- Karolinska Institutet, doctoral positions
- Linneuniversitetet
- Luleå University of Technology
- Luleå university of technology
- Nature Careers
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- 13 more »
- « less
-
Field
-
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoc to
-
Deadline 15 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
We are looking for a postdoc to join our team at the Division of Signal Processing and Biomedical engineering, Department of Electrical Engineering. Become part of our innovative team and contribute
-
-conjugated organic semiconductors for high-performance organic photodetectors. The work integrates molecular and materials design with organic synthesis, purification, and thin-film characterization, in close
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoc to join our team at the Division of Signal Processing and Biomedical
-
the society and industry, we strive to solve society's major challenges – together. At the Division of Fluid Dynamics , we develop advanced experimental and computational techniques to investigate flows in both
-
-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
-
predictive confidence, including sensitivity and identifiability analyses Compare grey-box models against purely mechanistic and purely data-driven approaches Optimize model performance for computational
-
for the development of the Ambient Pressure X-ray Photoelectron Spectroscopy Program at MAX IV. The beamlines provide a wide range of sample environments for in situ and operando XPS and XAS across four instruments and
-
-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a