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the laboratory of Dr. Stacey Gilk in the Department of Pathology, Microbiology, and Immunology at the University of Nebraska Medical Center. The successful candidate will join an interdisciplinary research program
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 5 days ago
stages onward, and the development of disease-stage-specific imaging and This position is part of the DFG Research Unit "Layers of Memory" (subproject P7), a consortium spanning Bochum, Bonn
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intelligence, data science, medical physics, neuroimaging, bioengineering, or related disciplines, accompanied by accredited training in machine learning, deep learning, or medical image analysis. Experience: A
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We are seeking an exceptional Postdoctoral Research Assistant to join the Chronic Pain Research Group at Ninewells Hospital and Medical School, University of Dundee. In this role, you will lead a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
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advancing new molecular imaging and therapeutic agents from bench discovery toward preclinical and clinical application. The laboratory is focused on novel agent development, in vitro and in vivo development
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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Title of position: Postdoctoral Associate in Cardiovascular AI and Medical Imaging Department and school: Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine
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applications. Information Ultrasound is one of the most widely used medical imaging modalities due to its safety, accessibility, and real-time capabilities. Yet important limitations remain, particularly in
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for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and artificial intelligence methods for vascular mapping and navigation using computed tomography (CT) and digital