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prototype integration to translate sensor outputs into clinically relevant protein biomarker data. The role will involve laboratory-based experimentation, data analysis, and active contribution to scholarly
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experience in at least one of the following would be highly regarded: (i) the theory and simulation of scattering, diffraction and imaging with high energy electrons or X-rays; (ii) solving inverse scattering
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, in various formats including images, texts and numeric values. The study of these unstructured data in the pathology laboratory information system (LIS), together with the information from
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PhD student(s) will join a vibrant team of postdocs, academics, and up to four PhD students working collaboratively across modelling, qualitative fieldwork, and optimisation techniques. PhD Research
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displacement and the length of such deformations (or displacements). As later steps, we will then look at time series data (or movies of images) and also at out-of-plane 3-dimensional deformations. This will
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malfunction and is associated with high morbidity and mortality. Current imaging techniques of fibrosis are indirect and possess substantial limitations, hence the medical need for accurate and sensitive
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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-dimensional vector space). Topics of interest in this project include: Encryption schemes and their applications Authentication schemes and their applications Zero-knowledge proof protocols and their
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lattice-based encryption and authentication schemes known are now being submitted for standardization, including [Titanium]. This project aims at designing schemes which preserve practicality but enjoy much