Sort by
Refine Your Search
-
Listed
-
Employer
- KTH Royal Institute of Technology
- SciLifeLab
- University of Lund
- Lunds universitet
- Umeå University
- Chalmers University of Technology
- Karolinska Institutet (KI)
- Swedish University of Agricultural Sciences
- Sveriges lantbruksuniversitet
- Karlstad University
- Linköping University
- Blekinge Institute of Technology
- Mälardalen University
- Örebro University
- Linnaeus University
- Nature Careers
- University of Gothenburg
- Karlstads universitet
- Stockholms universitet
- Chalmers tekniska högskola
- Chalmers Tekniska Högskola AB
- Jönköping University
- Linneuniversitetet
- Lulea University of Technology
- Luleå University of Technology
- Umeå universitet
- Chalmers
- Epishine
- European Magnetism Association EMA
- Kungliga Tekniska högskolan
- Malmö universitet
- Stockholm University
- Södertörn University
- University of Borås
- Uppsala universitet
- 25 more »
- « less
-
Field
-
important part of the third-cycle programme. Work duties You will primarily devote yourself to your doctoral programme, which includes participation in research projects as well as third cycle courses
-
Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace: We are now looking for two project assistans
-
5 Sep 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Physics » Applied physics Physics » Computational physics Physics » Other
-
Researcher (R1) Country Sweden Application Deadline 18 Sep 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme
-
General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
-
. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The applicant is expected to have a strong computational focus on innovative development and
-
enables a range of novel phenomena not seen in traditional materials, primarily exotic forms of emergent collective phenomena. The research project will employ computational techniques, primarily lattice
-
. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The applicant is expected to have a strong computational focus on innovative development and
-
regional university healthcare, within a broad range of medical topics and disease areas, as well as cutting-edge infrastructures , high-capacity computational resources, extensive biobanks and career