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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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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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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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The Facility Scientist will manage the recently commissioned Small and Wide-Angle X-ray Scattering (SAXS/WAXS) facility at the School of Chemistry and Chemical Engineering at Queen’s University
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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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access to the latest advanced industrial technologies and have the opportunity to grow and develop as an engineer and technology leader. Our mission is to provide you with the environment to innovate and
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Queen’s Communities and Place (QCAP) is an AHSS Faculty flagship research initiative based in the School of Social Sciences, Education and Social Work. It launched in November 2021, and supports
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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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person: The successful applicant must be able to demonstrate they have the following: Honours Degree, or equivalent, in related engineering or computer science discipline Substantial relevant experience in
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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