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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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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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lecturing duties within the post holder’s area of expertise and under the direct guidance of a member of academic staff. Support academic staff’s administrative duties. About the person: The successful
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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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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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In collaboration with The EPSRC Advanced Metrology Hub for Sustainable Manufacturing (led by the University of Huddersfield), the School of Mechanical & Aerospace Engineering at Queen’s University
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a relevant PhD. in Civil Engineering. Specific, relevant research experience in population-based SHM of bridges to include: Proven track record of working with infrastructure owners to organise field
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biomedical field of laboratory-based research, for example respiratory biology, biochemistry, immunology or cell biology (*must be obtained within 3 months of commencement of employment) Have significant
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relevant PhD in a biomedical field of laboratory-based research e.g respiratory biology, immunology, biochemistry, or cell biology (*must be obtained within 3 months of commencement of employment) Have