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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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methodologies for the analysis of the multimodal data. A first / masters degree (or equivalent) in Computer Vision, AI, Image Guided Interventions, Medical Robotics We are looking for high calibre applicants with
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computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch
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Program will become more effective and efficient. The AXTI (Advanced X-ray Tomographic Imaging) laboratory of the Department of Radiology and Nuclear Medicine at Radboudumc works closely with breast
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level of computer literacy with strong skills in the use of Microsoft Office software and other applications or systems/databases. For further information about the role, please contact Bo Qu – bo.qu
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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
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10 Sep 2025 Job Information Organisation/Company CNRS Department Institut de Biologie du Développement de Marseille Research Field Neurosciences Biological sciences Researcher Profile First Stage
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to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members
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experiments Essential Application/interview Molecular biology experience in molecular cloning to generate new constructs Essential Application/interview Light microscopy/fluorescence imaging experience e.g
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engineering Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Country Netherlands Application Deadline 30 Sep 2025 - 21:59 (UTC) Type of Contract Permanent Job Status Not