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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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of SAXS/WAXS and Total Neutron Scattering (TNS), particularly in the area of Liquids and Disordered Materials research, while developing a personal and collaborative research programme in an area relevant
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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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The purpose of this role is to support the work of the RICHeS programme at QUB providing research and access to archaeological and heritage science. The RICHeS Scientist (Research Fellow) will be a
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within the Queen's Communities and Place (QCAP) initiative, ensuring successful delivery of the QCAP research, evaluation, and knowledge exchange programme. This role will focus on developing and
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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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/national meetings and/or conferences. Ability to perform regular evening work. An ideal candidate would also have: A degree level qualification in library/information science or related area. Experience
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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