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coursework and GitHub repositories. Postdoctoral candidates must have extensive expertise in deep learning for medical image analysis. We welcome applications that only partially qualify these requirements but
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that capture the temporal evolution of complex chronic diseases from sequential medical images (plus clinical information) to predict plausible outcomes for patients on and off treatments. Driving innovative
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for high-precision, dynamic biomechanical testing. This includes:* improving actuation control (speed and smoothness of motion),* ensuring synchronization with imaging systems (e.g., micro-CT, OCT
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eager to apply your skills to translational oncology research. You also have: A recent PhD in (bio)medical physics or (bio)medical engineering. A strong interest in radiotherapy, CT imaging, dosimetry
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focused on advanced tissue imaging for diagnostic and intraoperative applications. The successful candidate will work on federally funded projects aimed at developing and applying novel microscopy platforms
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MRI protocols to accurately assess treatment outcomes in terms of treatment viability. This project aims to further advance this objective by integrating different medical imaging data types
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and its plasticity. The project will be carried out by applying “all optical physiology” methods, i.e. a combination of calcium imaging with optogenetics, in freely behaving animals in Paolo Medini’s
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, physics, or a medical imaging related field. Experience with developing advanced pulse sequences or accelerated acquisition and reconstruction algorithms will be highly valued. Interested candidates should
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Role: Postdoctoral Research Associate in Fluorescence Imaging of Surgical Tools Grade and Salary: Grade 7 - £37,694 - £47,389 Contract Type: Full Time (1FTE), Fixed Term (6 months - We welcome
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https://www.academictransfer.com/en/jobs/354348/postdoc-position-on-ai-based-tr… Requirements Specific Requirements PhD in a relevant field (e.g., medical imaging, computer vision, AI) Expertise in