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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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) section. The role involves working 50/50 across two projects: the NIHR funded Target Trials in Mental Health programme and Eli Lilly funded “Advancing the Methodologies Used to Incorporate Non-randomised
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Government policies and to inform innovation for industry leading to increased economic growth. Our main source of funding is from the Scottish Government funded Strategic Research Programme (SRP) which we
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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 essential criteria for the post, which includes: Have or be about to obtain a PhD in computer science, engineering, mathematics or physical sciences area. Recent high quality research experience in
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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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an innovative research programme on decarbonisation within galleries, libraries, archives, and museums, with a focus on Scope 3 emissions. This Fellowship is made possible with support from Getty through its
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, consideration of urban heat island in the generation of future weather files and some experience with computer programming programs. Strong communication/interpersonal skills and an ability to work independently
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relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and
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programme in the UK from any other sources. Meet the English language requirement of the UK HEI. Have a background or a proven interest in AI foundations and its application in civil and environmental