715 computer-science-programming-languages-"The-University-of-Akureyri" positions at University of Sheffield
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The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr S Cartwright, Dr Patrick
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, Materials 4.0 and Materials informatics and will support other research areas as required. As part of an integrated team, the RBE Lead will coordinate closely with equivalent functions at Royce Partner
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Neuro-Symbolic Methods for Explanation-Based Reasoning with Large Language Models School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Marco Valentino, Prof Nikos
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IT Services at the University of Sheffield provide a full range of complex IT and technology-enabled services. This role supports delivery across our three strategic product areas: Education
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, assessment, and student support to enable effective learning Contribute to the development of programme modules that are accessible, inclusive and contribute to the University’s Teaching and Learning Strategy
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research group in natural biobased polymers and their use in medical and eco-friendly applications led by Professor Ipsita Roy at the School of Chemical, Materials and Biological Engineering. The post is
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collaborate with researchers at Ludwig Maximilian University, Munich and Centre Algatech, Trebon, Czech Republic, as part of the Synergy research programme. The aims of the Sheffield part of the Synergy
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PhD Opportunities in Molecular and Cellular Biology School of Biosciences PhD Opportunities Self Funded View DetailsApply Online
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meeting the requirements of Ofsted’s Education Inspection Framework. You will have sufficient knowledge and experience to deliver a range of common units to advanced apprentices such as Engineering Design
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at the intersection of molecular biology, computational science, and translational oncology, contributing to cutting edge research in the pathology of head and neck cancers. Led by Professor Ali Khurram