21 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at QUEENS UNIVERSITY BELFAST in United Kingdom
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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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meet the following essential criteria: Have or about to obtain a PhD degree in Computer Science, Computational Biology or other relevant discipline (*must be obtained within 3 months of commencement of
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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 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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. 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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beyond. About the person: As the successful candidate, you will have the following: Have, or be near to completion, a PhD in modern European history or cognate subject. An ability to contribute to teaching
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colleagues whose research is internationally renowned for excellence and societal impact. About the person: Successful candidates' application should clearly demonstrate: A completed PhD (or very close to
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and artificial intelligence is genuinely research-informed. About the person: The successful applicant must demonstrate the following: Hold or be about to obtain a PhD in Mathematics, Physics
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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