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candidate should have (or expect to soon be awarded) a PhD in quantum information theory (including some aspects of quantum computing, quantum cryptography and/or quantum communication) and some experience in
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). Additionally, you will collaborate with researchers at Queen Mary University of London (Dr Margherita Malanchini) and King’s College London (Professor Robert Plomin), contributing to a broader network of PhD
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candidate should have (or expect to soon be awarded) a PhD in quantum information theory (including some aspects of quantum computing, quantum cryptography and/or quantum communication) and some experience in
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Aston University invites applications for a Postdoctoral Research Associate (PDRA) to join the UK Multidisciplinary Centre for Neuromorphic Computing. The project will focus on determining
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haematology, supported by world-class facilities, access to deeply phenotyped clinical cohorts, and a strong collaborative network. You will hold a relevant PhD/DPhil, together with relevant knowledge in normal
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at scale. About You Applicants should preferably have an MSc/PhD in Computer Science/Engineering. They should have expertise in distributed systems and computer networks. Excellent knowledge and practical
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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researchers at Queen Mary University of London (Dr Margherita Malanchini) and King’s College London (Professor Robert Plomin), contributing to a broader network of PhD students and postdoctoral researchers. Key
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About the Role This Postdoctoral Research Associate (PDRA) position is part of an exciting EPSRC-funded programme, "Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and
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haematology, supported by world-class facilities, access to deeply phenotyped clinical cohorts, and a strong collaborative network. You will hold a relevant PhD/DPhil, together with relevant knowledge in normal