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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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imaging, based on absorption, provides good image contrast between high- and low-density materials, such as bones and soft tissue. However, it cannot distinguish subtle density differences between soft
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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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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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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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style. You’ll bring vision, energy, and a commitment to mentoring and supporting others. You’ll be someone who sees the big picture and is excited by the opportunity to build something meaningful
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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
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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