Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Karolinska Institutet (KI)
- Umeå University
- SciLifeLab
- Linköping University
- Umeå universitet stipendiemodul
- University of Lund
- Jönköping University
- KTH Royal Institute of Technology
- Nature Careers
- Uppsala universitet
- IFM/Linköping University
- KTH
- Karlstad University
- SLU
- Sveriges Lantbruksuniversitet
- 7 more »
- « less
-
Field
-
Intervention invites applications for a two‑year postdoctoral fellowship within the project AI‑Driven Medical Imaging. The position is expected to start on 1 September 2026 or as agreed. The fellowship is funded
-
, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
-
of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment
-
spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and inorganic materials. Responsibilities
-
microscopy datasets now capture millions of single-cell images across diverse perturbations, but differences in imaging protocols, marker panels, and cell types limit their integration and reuse. A key
-
fundamental and applied contexts. Using state-of-the-art laboratory facilities, we advance understanding of turbulent incompressible, compressible, and multiphase flows through coordinated research
-
techniques such as tensile, compression, DSC/TGA, etc. as well as analysis of the data with good knowledge of possible errors. hands-on experience with alloy design strategies, including high-throughput
-
techniques such as SEM, TEM, XRD, EDS, EBSD, FIB/SEM etc., as well as physico-mechanical characterization techniques such as tensile, compression, DSC/TGA, etc. as well as analysis of the data with good
-
Job Id: 11662 Limited to 2 years (with possibility of extension) | Full-time with 38,5 h | Salary according to TV-L E13 | European Institute for Molecular Imaging We are UKM. We have a clear social
-
at the Division covers turbulent flow (both compressible and incompressible), multiphase flows, aero-acoustics and turbomachines. Our tools include both computations and experiments. The research covers a wide