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Field
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. Specialized models like Med-PaLM 2 also provides advanced capabilities in processing and understanding medical language. However, despite these advancements, these models still face considerable limitations in
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part in implementing the 2030 vision of the Faculty of Medicine, i.e. to become leading within digital health and well-known for doctors and engineers finding solutions together. Our mission is to drive
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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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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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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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. 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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about our proposed methodology. In this method, the images taken by each drone will be loaded into the pre-processing unit and then the pre-processed data will be used as the input of the deep learning
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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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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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to gain a better understanding of how cloud microphysical processes drive both precipitation formation and the cloud's radiative impact. Project background The BeyondCloudlab project leverages weather