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This position is embedded in the Medical UltraSound Imaging Center (MUSIC) of the Department of Medical Imaging of the Radboud university medical center. Within MUSIC we have ample experience in
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of image sensor technology through advanced pixel design Your key responsibilities include: Researching novel application-specific pixel architectures Developing hardware for characterization and application
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A PhD degree in applied mathematics, computer science, electrical engineering, mechanical engineering,or applied physics.•A research oriented attitude with affinity for advanced formal mathematics
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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
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compact models. Compact models are the optimum trade-off between the required physical functionality and computation intensity. As such, they enable the simulation of advanced and high-integration-density
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learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical settings
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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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26 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering
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mission is to transform cancer care by developing smart, minimally invasive therapies based on advanced imaging. In close cooperation between clinicians, engineers, physicists, and researchers, treatments
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& Computer Science of the Eindhoven University of Technology in the field of “Geometric Learning for Image Analysis”.The two year postdoc position is part of VICI Project (VI.C. 202-031, PI: R.Duits) and will