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The Chief Architect of Centre of Excellence(CoE) for High Performance Computing and Data Science will serve as the principal architect of DSU’s B200 supercomputing infrastructure, ensuring it
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high-performance computing and AI, the Chief Architect will drive innovations in computer vision, graphics, NeRF-based systems, and real-time spatial intelligence. Beyond research, the role emphasizes
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applications for faculty positions in Computer Science. Faculty specialising in data science, machine learning (deep learning, reinforcement learning, multimodal learning), Generative AI, and computer graphics
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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applying AI and statistical models to large-scale, multi-omics, imaging, and clinical datasets Familiarity with Linux-based environments, shell scripting (e.g. bash), and high-performance or cloud computing
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Research, Optimisation including Optimal Control, Information Theory including Coding Theory, Cryptography, Quantum Computing, Financial and Actuarial Mathematics, Mathematical Economics, Mathematical and
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manufacturing capabilities, and high-performance computing resources. The ideal candidate will have a track record of high-impact first or lead-author publications, demonstrable potential for independent research
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(kindergarten through high school, nationally top-ranked). Special Notes: Candidates who reach the interview stage for the Overseas Outstanding Young Talents program but are not selected may be included in
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of working. They will be committed to high-quality education and support of learning and to building a vibrant student experience and community. Visible and collegiate, the role holder will be expected
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will demonstrate collegiality by ensuring ‘Southampton Behaviours’ are embedded within their ways or working. They will be committed to high-quality education and support of learning and to building a