Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- European Space Agency
- University of Groningen
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- University of Twente
- Eindhoven University of Technology (TU/e)
- University of Twente (UT)
- Wageningen University and Research Center
- CWI
- KNAW
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- Erasmus MC (University Medical Center Rotterdam)
- Leiden University
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Wageningen University & Research
- 11 more »
- « less
-
Field
-
learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical settings
-
: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
-
26 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering
-
26 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering
-
crystallization happens in a device and how does this impact power output? How can Magnetic Resonance Imaging (MRI) and X-ray Computed Tomography (CT) be used to visualize and analyze in-situ processes (e.g. phase
-
science, engineering, physics, mathematics or a similar domain. There is a strong preference for an applicant with a biomedical background. Experience with medical image processing, histopathology, computer vision
-
US images and histopathology. Integrate multimodal data: Align histopathology slides with 3D ultrasound reconstructions. Refine imaging technology: Explore improvements in ultrasound physics
-
solutions for imaging and treatment planning workflows. Collaborating with physicists, engineers, and biologists to align technological developments with biological research needs. Supporting radiobiology
-
environment that encourages professional growth, mentoring, and a healthy work–life balance. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses
-
intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar