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Field
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, Biomedical Engineering, Medical Physics, Computer Science, or a related field. • Strong background in medical image processing, signal analysis, or computational modeling. • Experience with these imaging
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The Center for medical Image Analysis and Navigation (CIAN) group at the Department of Biomedical Engineering of the University of Basel, led by Prof. Dr. Philippe C. Cattin, is seeking a highly
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Qualification Position Summary The University of Nebraska Medical Center (UNMC) and Children’s Nebraska invite applications for a Postdoctoral Research Fellow in Cardiovascular Imaging and Artificial Intelligence
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models for medical image analysis tasks including segmentation, classification, lesion characterisation, and representation learning Develop predictive models and risk prediction frameworks using imaging
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Engineering, Medical Image Analysis, Applied Mathematics or a related field Experience with deep learning for image analysis, preferably in medical imaging Experience with generative modelling, ideally
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publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement but an interest in research at the interface of machine learning with real-world
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preclinical studies involving radiopharmaceuticals for diagnosis and radionuclide therapies (in vitro uptakes, in vivo biodistribution, therapeutic efficacy), - Improving image analysis workflows to extract
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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at rescuing circuit dysfunction and evaluating outcomes using state-of-the-art behavioral characterization. We are seeking an expert in neural circuit analysis with experience in: In vivo two-photon imaging
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Qualifications PhD in Neuroscience or other related field Experience in in vivo dosing (IV,IP, SC), mouse brain stereotactic surgery, in vivo two photon imaging, image analysis Qualified applicants must be