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Hardware Accelerated AI Custom Computing Job description As Research Fellow, to play a key role within QUB's strategic Centre for Secure Information Technology (CSIT) and to engage in challenging research
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density functional theory. Refereed publications in these areas commensurate with career stage. Experience of FORTRAN and python programming. Previous experience in developing and using parallel
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Artificial Intelligence, Software Engineering, Edge Computing, and/or Cybersecurity. Hands-on experience with modern edge AI technologies/frameworks, such as small language models (SLM), distributed large
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point-free topology (i.e., the theory of frames and lattices) to tackle questions arising in tensor-triangular geometry. There is a particular focus on computing specific examples arising from stable
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project manager and other professional services (e.g., in the Centre for Intelligent Sustainable Computing and the School of Electronics, Electrical Engineering and Computer Science) and with the
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processing, analysis, and sharing. The successful candidate will have a strong foundation in software engineering, data engineering, and cloud computing, with a proactive attitude and eagerness to