Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- University of Groningen
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- Radboud University
- Utrecht University
- University of Twente (UT)
- Wageningen University & Research
- European Space Agency
- Tilburg University
- Delft University of Technology (TU Delft); Delft
- Leiden University
- Maastricht University (UM)
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente (UT); Enschede
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Amsterdam (VU); Amsterdam
- Amsterdam UMC
- Maastricht University (UM); Maastricht
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc)
- Radix Trading LLC
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University of Amsterdam (UvA); 26 Sep ’25 published
- University of Twente
- Amsterdam UMC; Amsterdam
- CWI
- DIFFER
- Delft University of Technology (TU Delft); 26 Sep ’25 published
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); Eindhoven
- Eindhoven University of Technology (TU/e); yesterday published
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); today published
- Erasmus University Rotterdam (EUR)
- Leiden University Medical Center (LUMC)
- Maastricht University (UM); 26 Sep ’25 published
- Max Planck Institute for Psycholinguistics
- Naturalis
- Princess Máxima Center for Pediatric Oncology
- Radboud University Medical Center (Radboudumc); Nijmegen
- Radboud University; 3 Oct ’25 published
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- The Open Universiteit (OU)
- Tilburg University; Tilburg
- University of Groningen; Groningen
- Utrecht University; today published
- VU Amsterdam
- 39 more »
- « less
-
Field
-
tracers. Specifically, you will use clinical molecular imaging data in combination with numerous methods (i.e., AI image analyses, PBPK modeling, immunohistochemistry, FACS). As a postdoctoral researcher
-
researchers in the laboratory and the clinic. To select the right treatment for each individual patient, the department conducts research into molecular imaging, a promising method for non-invasively studying
-
implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
-
In this role, you will help develop and implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical
-
Vacancies Postdoc position on deep learning based medical imaging for medical robot Key takeaways In this role, you will help develop and implement cutting-edge AI solutions for real-time, image
-
(e.g., PyTorch, TensorFlow, JAX), and scientific libraries (e.g., NumPy, SciPy, scikit-learn) Familiarity with medical images such as x-ray, CT, or fluoroscopy. Proficiency in Python coding language and
-
In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
-
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
-
You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC
-
imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC). Your research will directly contribute to early detection and risk stratification