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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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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 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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Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality. For
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established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality. For further information on our commitment to Equality
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Network) and PRISM (LGBTQ+) which help us progress equality. For further information on our commitment to Equality, Diversity and Inclusion, please visit www.qub.ac.uk/diversity . If you are
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supervisor, write high quality research reports and manuscripts for journal publication and presentations at international conferences. Assist supervisor in the preparation of funding proposals and
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established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality. For further information on our commitment to Equality