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and/or Windows environments Working knowledge of modern development tools (Git, CI/CD pipelines, automated testing frameworks) Knowledge of data structures, algorithms, and performance optimization
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maintaining software in Linux and/or Windows environments Working knowledge of modern development tools (Git, CI/CD pipelines, automated testing frameworks) Knowledge of data structures, algorithms, and
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maintaining software in Linux and/or Windows environments Working knowledge of modern development tools (Git, CI/CD pipelines, automated testing frameworks) Knowledge of data structures, algorithms, and
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our internationally leading research is organised in three themes – Discrete Mathematics and Algorithms, Data Science and AI, and Logical Methods. Salary range £44,247 rising to £60,858 per annum
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-dominated grids, protection systems, and wide-area dynamics. Scalable algorithms and numerical methods for large-scale simulation. Scientific software and software architectures for next-generation simulation
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Reliable and Efficient Adaptation of Large Language Models School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Cass Zhixue Zhao, Prof Nikos Aletras Application
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, and development of algorithms for real-world clinical data. The fellow will have the opportunity to work with clinicians, engineers, data scientists, trainees, and research staff in a highly
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interpretation algorithms. A primary application will be segmentation and quantitative analysis of PSMA PET imaging in prostate cancer, with additional projects spanning radiology-based AI applications across
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to analyse online disinformation, near-real-time social media streams, network actors, and legal/regulatory responses. Translate insights into domain logic, training data, and algorithms to develop an AI
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Qualifications · PhD or MD/PhD in neuroscience, molecular/cell biology, bioengineering, or a related field. · Demonstrated experience in extracellular vesicle exosome biology and advanced statistical analysis