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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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. The successful candidate will become an active member of the Energy, Power and Intelligent Control (EPIC) research centre within the School of Electronics, Electrical Engineering and Computer Science (EEECS
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, supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB). The PEACEPLUS programme is co-funded by the European Union, the Government of the United
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their research communities, and to outreach activities that showcase research to the wider public. About the person: A PhD in Computer Science, Computer Engineering, Electronic Engineering (or related disciplines
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their research communities, and to outreach activities that showcase research to the wider public. About the person: A PhD in Computer Science, Computer Engineering, Electronic Engineering (or related disciplines
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machine learning and artificial intelligence. The successful candidate will support teaching on a new postgraduate MSc in Data Science with Machine Learning and AI, as well as more general teaching
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should clearly demonstrate that you meet, the following criteria: Hold a PhD in Computer Science, Computer Engineering, Electronic Engineering (or related discipline).Demonstrate a strong record
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demonstrate that you meet, the following criteria: Have a PhD in Computer Science, Computer Engineering, Electronic Engineering (or related discipline).A strong record (commensurate with career stage
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at undergraduate and postgraduate level, and to contribute to School administration/outreach activity. The principal aims of the lectureship are to: (i) develop a research programme in social epidemiology in