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Master’s degree in physics, mathematical biology, computational biology or a related subject. They should have good skills in programming languages such as Python, MATLAB or R, and experience in image
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: Statistical signal/image processing, deep learning, machine learning, neuromorphic computing Good communication skills and an appropriate publication record are essential. Solid knowledge of Python and C++ is
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to drive forward a collaborative programme of research between the Divisions of Pharmacy and Optometry, Cardiovascular Sciences and Cancer Sciences. The post will be tenable on a fixed term basis until
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developing and applying deep learning models, particularly in areas such as natural language processing (e.g. use of LLMs), computer vision (e.g. CNNs for image classification), and multimodal data integration
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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processor and the forthcoming CHERI for RISC-V standard, has the potential to transform computer security through strong software vulnerability motivation. This post will support and enable the success
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experiments and computational/bioinformatics analyses. Generate, process, and analyse multimodal datasets including immunohistochemistry, multiplex imaging, and spatial transcriptomics, integrating findings
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contribute to the process of securing funds through bids and growing reputation. About You The post holder will provide overall: analysis of large-scale short-read whole genome sequencing datasets and long
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numerate discipline (preferably Astronomy, Physics, Computer Science, Computer Engineering or related field). Candidates are expected to be familiar with the acquisition and reduction of data from large
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and computer simulated EIS spectra. Develop a prototype decision support system dedicated to the EIS based oral cancer diagnosis and implement the system on a dedicated PC for both project demonstration