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Breast Imaging role. Key Responsibilities Provide high-quality clinical breast imaging services, including digital mammography (2D/3D), breast ultrasound, MRI, and image-guided procedures (biopsies
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. The fellowship candidate must hold a Ph.D. in Agricultural Engineering or related fields, with expertise in irrigation, remote sensing, image processing, and precision agriculture. Experience in programming
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collection materials conventionally and digitally; preparing high-quality digital images; contributes to research documentation and assists with preparation of materials for publication under supervision
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darkroom processes, large format photography, and color digital photographic production. The successful candidate will have the ability to teach a strong foundation in perceptual, formal, and critical skills
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the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
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editing, and web development applications Create original artwork for the Public Lectures series’ collateral pieces, including posters and digital images for social media Establish brand/graphic standards
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to contribute to the development and validation of data processing tools and to ensure an operational role for members of the scientific team in the programming of scientific observations. An accurate
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levels across different scenarios with high accuracy. As with any numerical simulation in medical applications, the digital twin of the clinical procedure must be carefully constructed and validated
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progression modelling and AI, that sits within the UCL Hawkes Institute — a leading hub of medical image computing and interventional science involving well over 100 scientists and academics. About the role
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; and ability to distinguish color variations. Department Preferences: Interest in learning about and working with digital collections. Some experience with image processing software such as Adobe