255 computer "https:" "https:" "https:" "https:" "Grenoble INP Institute of Engineering" Postdoctoral research jobs in Sweden
Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Karolinska Institutet (KI)
- Swedish University of Agricultural Sciences
- KTH Royal Institute of Technology
- Linköping University
- Nature Careers
- SciLifeLab
- University of Lund
- Umeå University
- Umeå universitet stipendiemodul
- Uppsala universitet
- Lulea University of Technology
- Luleå University of Technology
- Luleå tekniska universitet
- Umeå universitet
- Blekinge Institute of Technology
- Sveriges Lantbruksuniversitet
- Örebro University
- Jönköping University
- KTH
- Karlstad University
- Mälardalen University
- IFM, Linköping University
- Lund University
- SLU
- University of Borås
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM/Linköping University
- Karlstads universitet
- Linnaeus University
- Linneuniversitetet
- Luleå university of technology
- Stockholms universitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- 27 more »
- « less
-
Field
-
program based in Sweden that been systematically mapping the localization of human proteins in cells, tissues and organs during the past 20 years. For this project, we map the subcellular distribution
-
position, the following shall form the assessment criteria: A good ability to develop and conduct high quality research. Teaching skills. Other qualifications: Experience from computational fluid dynamics
-
several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS) and advanced CFD tools, primarily OpenFOAM, with the possibility to use Nek5000 or LBM
-
supervisors, aligning with your expertise and the needs of the program. Core tasks include study design, data acquisition, analysis, and interpretation of imaging data. Work responsibilities An appointment as a
-
strategies. The research group focuses on exploration of tumor immune microenvironments through spatial omics and imaging, development of computational models for prediction of molecular and clinical features