Sort by
Refine Your Search
- 
                Listed
- 
                Employer- Delft University of Technology (TU Delft)
- European Space Agency
- Delft University of Technology (TU Delft); Delft
- University of Groningen
- University of Twente
- Delft University of Technology (TU Delft); yesterday published
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); 26 Sep ’25 published
- University of Twente (UT)
- Wageningen University & Research
- Delft University of Technology (TU Delft); 26 Sep ’25 published
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc); 10 Oct ’25 published
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Tilburg University; Tilburg
- University Medical Center Utrecht (UMC Utrecht)
- Utrecht University
- Wageningen University and Research Center
- 12 more »
- « less
 
- 
                Field
- 
                
                
                image processing and analysis method development. The position builds on the lab's track-record in the field of computational imaging techniques for super-resolution microscopy and image analysis 
- 
                
                
                of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent 
- 
                
                
                of image sensor technology through advanced pixel design Your key responsibilities include: Researching novel application-specific pixel architectures Developing hardware for characterization and application 
- 
                
                
                Vacancies Postdoc position on reinforcement learning on real-time image/video processing for medical robot Key takeaways In this role, you will be responsible of developing cutting-edge deep 
- 
                
                
                Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided 
- 
                
                
                on the cutting edge of chemical technology, applied physics and biomedical technology. Our fields of application include sustainable energy, process technology and materials science, nanotechnology and technical 
- 
                
                
                mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we 
- 
                
                
                22 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Country Netherlands 
- 
                
                
                and document analysis. Explore what data are available on essential health resources and supporting systems, and assess their usefulness. Co-create a regional risk picture by facilitating workshops 
- 
                
                
                26 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering