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repeatability, calibration, subgroup performance, bias assessment, quantitative segmentation metrics and clinically relevant diagnostic/prognostic performance measures. Undertake systematic image review
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such as Parkinson’s disease. We seek candidates with expertise in data mining, medical image analysis, programming, and Unix/Linux. The candidate is also expected to assist in data management. The
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are computationally expensive, making them clinically impractical at scale. The solution lies in image-based, data-driven (AI) models that learn to predict personalised fracture risk directly from
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Job Description Are you excited by developing novel computational imaging methods that move from research into real-world use? Join our interdisciplinary team as a postdoc to develop advanced image
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image, dermascopic image, MRI, CT-scans and EHR, form the basic screening and diagnosis procedure for many diseases of interest. The goal of this project is to develop computational models using text and
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opportunity for a talented early-career researcher to help shape a focused and growing research programme at the interface of artificial intelligence, medical image analysis, and clinical neuro
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-resolution imaging, phase retrieval, image reconstruction, inverse problems, and scalable computational approaches for analysing large microscopy datasets. Experience in electron microscopy, quantitative
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: Ongoing master's studies at TU Wien in the field of Geodesy and Geoinformation, Computer Vision/Image Processing, Computer Science, Physics, Mathematics or similar Good knowledge in computer vision
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project combines advanced 2D and 3D bioimaging, including micro/nanoCT, confocal microscopy and SEM, with computational image analysis, computer vision and machine learning. The aim is to develop robust
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support global efforts to monitor ocean health and climate change impacts. The project You will combine traditional net-derived plankton data with image-based observations from ship surveys and oceanic