Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- SciLifeLab
- Uppsala universitet
- Linköping University
- Swedish University of Agricultural Sciences
- Umeå University
- Chalmers University of Technology
- Karolinska Institutet, doctoral positions
- Linköpings universitet
- Mid Sweden University
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- University of Lund
- 2 more »
- « less
-
Field
-
tracking, and integrating these models into automated analysis and imaging workflows. The work also involves managing and quantitatively analyzing large-scale image datasets, method development in close
-
medicine research is expected to make use of existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population
-
medicine research is expected to make use of existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population
-
offer a researcher position in AI-based metrology for medical imagining. The focus will be on developing traceable and reliable methods for quantitative spectral CT imaging and personalised dose
-
image processing and physics-informed machine learning? Would you like to work together with competent and friendly colleagues in an international environment? Are you seeking an employer that offers safe
-
. The tasks include developing, training, and validating deep learning–based models for event detection and vesicle tracking, and integrating these models into automated analysis and imaging workflows. The work
-
application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
-
Referensnummer IFM-2026-00053 Work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction
-
, spatially aware QC, normalization, cell segmentation integrating H&E imaging and transcript density, and spatial domain identification Single-nucleus integration and annotation: large-scale multi-sample batch
-
forward to receiving your application! Your work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image