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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
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techniques (e.g. electron microscopy) will then be applied to assess the extent of material degradation in each case. Characterisation could include in-situ tensile testing coupled with digital image
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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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to making a difference in patients' lives. Automation & Process Optimization Automation & Process Optimization Department is part of the Digital Science and Innovation (DSI) area, which supports the digital
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paper and grant writing, and thesis and viva preparation. Interviews are likely to be online in mid-late August 2025. Project Description: Deepfakes, i.e., realistic AI-generated images, videos or audio
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. Candidates must have a strong motivation for research and excellent programming skills. Expertise of developing computer vision and machine learning algorithms would be desirable, with an interest in image
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before determining their visual loss arises from cortical, rather than ocular deficits. Tests of cortical visual function are used rarely except by highly specialised neurology/neuro-ophthalmology
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
tax free stipend of £25,780 per year. This project is co-sponsored by the EPSRC Centre for Doctoral Training in Digital Transformation of the Metals Industry (DigitalMetal) and Rolls-Royce plc with co
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sustainable materials, (d) Artificial Intelligence (AI) models to predict and control the manufacturing process and (e) a Digital Twin (DT) incl. Building Information Modeling (BIM) information backbone
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experience with X-ray methods and imaging Have preferably some additional experience in the biomedical domain and/or in image processing Have preferably some experience using ML models and tools (e.g