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applications within the group. Tasks and responsibilities: conducting independent research in AI and medical image analysis, resulting in academic publications in peer-reviewed international conferences and/or
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efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis for medical imaging, tailored for deep learning
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The Department of Medical Imaging is one of the most active research departments of the Radboudumc. More than 100 researchers are continuously striving to optimize healthcare. Close cooperation
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recruiting and selecting staff and students. You will collaborate with a team of clinicians (urologists/pathologists), experienced researchers with backgrounds in image analysis, machine learning, pathology
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that has been generated in a prior laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge
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data, and primarily focus on developing medical image analysis and AI methodologies. The project is a collaboration with Radboud UMC, ProBCI (Dutch Bladder Cancer Infrastructure), and IKNL (Netherlands
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, Biomedical Sciences, Molecular Sciences, Nanobiology). Experience with the basal transcription process, DNA damage response or with live cell imaging and microscopic data analysis is an advantage but not
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imaging. Strong analytical skills and experience with medical imaging technologies and data analysis. The ability to work collaboratively in multidisciplinary teams and communicate effectively across