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To provide technical and administrative support to ensure the smooth running of the University/School’s large hybrid computing platform and to assist in its development and expansion across multiple
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. This interdisciplinary collaboration with the University of Lincoln and University of Liverpool focuses on developing innovative computational approaches that integrate advanced genomic analysis with state-of-the-art
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will have a background in computer/data science, and specifically have computer programming experience, working with programming languages such as Python or R, in order to develop and maintain data
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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
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realisations, relative to research funding. QUBIS is expanding its innovation programme offering to support student and graduate enterprise, with the Student Launch pre-accelerator and a Graduate Launch
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computer science, engineering, mathematics or physical sciences area Recent high quality research experience in machine learning/AI, or both, as evidenced by a strong track record of publications in leading
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, student, staff and community led functions within Sport. Additionally, the postholder will be responsible for developing, leading, and delivering a programme of engagement with alumni in support of Queen’s
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. • Design and lead a vibrant residential life programme that supports cultural integration, personal development, and community-building. The successful candidate must have; 1. A university degree in
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the DATUM project responsible for coordinating the delivery of the PEACEPLUS DATUM project in line with contractual responsibilities to the funder, Special EU Programme Board (SEUPB). The post holder will