Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Umeå University
- Uppsala universitet
- Lulea University of Technology
- SciLifeLab
- Chalmers University of Technology
- Chalmers University of Techonology
- Fureho AB
- Linköpings universitet
- Lunds universitet
- Mälardalen University
- School of Business, Society and Engineering
- Stockholms universitet
- Umeå universitet
- University of Gothenburg
- 5 more »
- « less
-
Field
-
Electron Microscopy (TEM) and HAADF-STEM images. Microscopy data are often degraded by noise and scan distortions, and clean ground truth data are rarely available. This project aims to go beyond standard
-
focus on image processing and restoration, to develop novel AI-based approaches to restore and denoise Transmission Electron Microscopy (TEM) images. This position is part of a cross-disciplinary research
-
application! At the intersection between AI and single atoms. Your work assignments We are looking for a PhD student with a background in machine and deep learning with focus on image processing and restoration
-
Sweden’s national infrastructure for visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund University’s local infrastructure for image
-
mutagenesis, imaging, genomics, and single-cell transcriptomics. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher. PhD project 2: The PhD
-
and survival in host cells. Through a combination of microbiology, imaging, molecular biology, and translational modelling, the PhD student will generate data to support the design of biofilm-resistant
-
the national infrastructure network SciLifeLab for Cryo-EM and cellular volume imaging, providing “state of the art” technology access for this project. Cryo electron microscopy (cryo-EM) methods provide
-
SciLifeLab for Cryo-EM and cellular volume imaging, providing “state of the art” technology access for this project. Cryo electron microscopy (cryo-EM) methods provide possibilities to visualize
-
dynamics and heat transfer research. Programming skills in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability
-
for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation