10 computer-science-programming-languages-"St"-"St" Fellowship positions at Queen's University Belfast in United Kingdom
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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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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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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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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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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
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Chemistry, Chemical Engineering, Biochemistry, Pharmacy or closely related area. Significant recent relevant practical research experience of peptide-mimetic synthesis (liquid and solid-phase synthesis