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, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning
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and imaging butterfly courtship interactions within experimental enclosures with the ultimate aim of reconstructing the visual circumstances leading up to mate detection. The successful candidate will
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developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
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, specifically in Computer Vision Proficiency in python and deep learning libraries (pytorch, Tensorflow) Preferred Qualifications: Experience in Medical Imaging (ideally in Ophthalmology) Track record
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quality research outcomes in the area of animal behaviour. This project involves establishing and imaging butterfly courtship interactions within experimental enclosures with the ultimate aim
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for producing high quality research outcomes in the area of animal behaviour. This project involves establishing and imaging butterfly courtship interactions within experimental enclosures with the ultimate aim
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: * Develop and apply cell culture models of retinal fibrosis and retinal degenerative diseases. * Utilize molecular biology, biochemistry, and imaging techniques to study disease mechanisms and therapeutic
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24th November 2025 Languages English Norsk Bokmål English English PhD Fellowship in information technology - AI for medical image analysis Apply for this job See advertisement Job description The
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Primary Purpose: Canada is developing three satellite instruments, TICFIRE (Thin Ice Cloud and Far InfraRed Emissions), ALI (Aerosol Limb Imager) and SHOW (Spatial Heterodyne Observations of Water
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biomedical imaging agents. The centre combines cutting-edge chemistry with clinical applications, supporting observational studies and clinical trials to advance precision medicine. The joint UCLH