10 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship positions at Queen's University Belfast
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We invite applications for a Research Fellow in Computer Vision to join an exciting interdisciplinary project between the Centre for Intelligent, Sustainable Computing and the Centre for Public
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Communities) project, through the delivery of research activities specifically on coastal community resilience, sustainability and marine governance using arts based and social science research methods. A key
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, medical statistics, or a closely related area such as computer Science, or mathematics. * If PhD pending, it must be conferred ≤3 from date of interview. Significant, relevant research experience Proven
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of peptides, peptoids), advanced methods of drug conjugation to peptide, peptoids, proteins or similar molecules, purification and identification. Experience in optimising the chemical synthesis of peptide
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a unique opportunity to develop their professional skills and build strong collaborations within the industry and academia. QUB also hosts some of the most advanced AI computing and Autonomous Vehicle
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. Therefore, the appointee will have a unique opportunity to develop their professional skills and build strong collaborations within industry and academia. QUB also hosts some of the most advanced AI computing
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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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Research Hub. Funded by the Higher Education Authority of Ireland, SLSS is an ambitious programme of activity. It brings together two academic institutions (University of Limerick and Queen’s University
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Research Hub. Funded by the Higher Education Authority of Ireland, SLSS is an ambitious programme of activity. It brings together two academic institutions (University of Limerick and Queen’s University
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alongside computational biology approaches to map epigenetic changes driven by WNT/GSK3 signalling in ESCs. This collaborative project offers access to world-class expertise, state-of-the-art resources, and