Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Humboldt-Stiftung Foundation
- Utrecht University
- Biomedical Center, LMU Munich
- Forschungszentrum Jülich
- Linköping University
- Nature Careers
- VIB
- ; St George's, University of London
- ; University of Birmingham
- ; University of Warwick
- Agricultural university - Plovdiv, Bulgaria
- CNRS
- Chalmers University of Techonology
- Cranfield University
- Curtin University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); today published
- Duke University
- FEUP
- Fureho AB
- Institut Pasteur
- Institute of Low Temperature and Structure Research Polish Academy of Sciences
- KNAW
- Linköpings universitet
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- SciLifeLab
- Technical University of Denmark
- Umeå University
- University Medical Centre Groningen (UMCG)
- University Medical Centre Groningen (UMCG); Groningen
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Sheffield
- University of Twente (UT)
- University of Twente (UT); Enschede
- University of Warwick
- Université Laval
- Uppsala universitet
- Utrecht University; Utrecht
- 31 more »
- « less
-
Field
-
for automatic segmentation and morphometry of histological images; - Compare the predictive value of AI-driven image analysis with clinical and biomarker data; - Collaborate with international experts in medical
-
at the Division of Cell Biology, Neurobiology and Biophysics external link within the Department of Biology external link . Our division hosts the state-of-the-art Biology Imaging Center external link , which
-
using deep learning and AI-driven image analysis. You will: - Analyse pre-implantation kidney biopsies according to the Banff criteria; - Apply AI methods for automatic segmentation and morphometry
-
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
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
for automated, data-driven diagnostics, integrating AI with high-resolution imaging and sensing offers a transformative solution. AI models can learn to recognize subtle damage patterns, enabling faster, more
-
to advance 3D imaging methods for neuroscience. Your colleagues: An interdisciplinary team working across the Cognitive Neuroscience Department and the Mental Health and Neuroscience Research Institute
-
THR demand in younger patients expected to increase fivefold by 2030, revision surgeries will also rise. To improve implant positioning, image-guided navigation is increasingly used in complex THR
-
on both public transport, walking and bicycle trips focusing on the full door-to-door travel. The data sources include image data in terms of photos and videos of the urban landscape as well as in and
-
on site. Assigned activities: Eukaryotic cell division cycles are regulated by phosphorylation, with the cellular proteins responsible for M phase progression being universally phosphorylated by the Cdk1
-
: • Image processing and sensor data analysis, ideally with HSI or other imaging technologies. • Machine learning and artificial intelligence, especially classification and segmentation tasks. • High