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Field
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project SCAPIS, medical images and clinical variables have been collected for more than 30,000 subjects. The goal is to use this dataset to train models for early detection of lung cancer (lung nodules
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project SCAPIS, medical images and clinical variables have been collected for more than 30,000 subjects. The goal is to use this dataset to train models for early detection of lung cancer (lung nodules
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offer a researcher position in AI-based metrology for medical imagining. The focus will be on developing traceable and reliable methods for quantitative spectral CT imaging and personalised dose
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) at Vrije Universiteit Brussel (VUB) is looking for a highly motivated PhD student to conduct research under the supervision of Prof. Jef Vandemeulebroucke in the field of medical image analysis and
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for a highly motivated PhD student to conduct research under the supervision of Prof. Jef Vandemeulebroucke in the field of medical image analysis and artificial intelligence. The selected candidate will
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fertile mix of people of different nationalities. The main working language is English. ETRO works closely with UZ Brussel, the university hospital of the VUB, a highly regarded medical institute that has
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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–2 years, total 3–4 years) on deep learning for medical imaging. This DFG-funded project focuses on developing deep learning methods for medical and scientific imaging. The Professorship for Machine
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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation
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with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep