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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
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methods. A second focus will be to establish methods for geospatial uncertainty quantification of such models for aggregated units to support pan-European mapping of carbon storage potential and contribute
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cutting-edge multimodal deep learning models that integrate imaging and clinical data to personalize treatment and follow-up strategies. In the Netherlands, around 75% of patients with an abdominal aortic
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27 Aug 2025 Job Information Organisation/Company The Netherlands Cancer Institute Research Field Computer science » Informatics Computer science » Programming Medical sciences » Medicine Researcher
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Are you ready to discover how Artificial Intelligence is transforming tongue cancer surgery? Join our innovative PhD program at the Netherlands Cancer Institute and make real impact by helping
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methods. A second focus will be to establish methods for geospatial uncertainty quantification of such models for aggregated units to support pan-European mapping of carbon storage potential and contribute
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to localize anomalous sounds, related to faults, in a complex acoustic environment, characterized by moving sound sources and reverberations. Purely relying on physical models describing the acoustics
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that bridge the gap between preclinical research and clinical applications. Within the GROW Research Institute for Oncology and Reproduction, the MAASTRO Physics Research Division plays a leading role in
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-derived organoid models. You will work closely with in-house technology platforms, including the Single Cell Genomics Facility, Big Data Core and High Throughput Screening Facility. Our research is embedded