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To provide technical and administrative support to ensure the smooth running of the University/School's large hybrid computing platform and to assist in its development and expansion across multiple
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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 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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applications from candidates who can demonstrate the following: Undergraduate degree in Computer Science, Software Engineering, Engineering Science, or a related discipline OR extensive recent and relevant
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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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The successful applicants will form part of the new team which will develop and deliver the Construction and Project Management (CPM) MSc programme in GIFT City, Gujarat, India. The CPM programme
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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