22 computer-science-programming-languages-"U.S"-"U" positions at QUEENS UNIVERSITY BELFAST
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ability to plan and organise short-term andmedium-term activities. Excellent team working skills. Excellent oral, communication and interpersonal skills. Responsive to change and adaptable to new challenges
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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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postgraduate level through the medium of English. Evidence of published work in relevant areas of archaeology/archaeological science in peer reviewed/referred journals. Track record of independent research and
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authored article of book chapter. Please note these must be uploaded as one document. Essential Criteria: Have or be about to obtain (post-viva) a relevant PhD in History, Anthropology, Political Science or
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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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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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, 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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. 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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, student, staff and community led functions within Sport. Additionally, the postholder will be responsible for developing, leading, and delivering a programme of engagement with alumni in support of Queen's