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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a
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. About you The successful candidate will contribute to cutting-edge theoretical research in topics including (but not limited to): Quantum architectures, compilation, and scalable quantum systems Quantum
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the control and stability of quantum operations. Using advanced Multiphysics simulation tools, the researcher will create models of the physical and control architecture, enabling the identification of design
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, architecture, and objects of Islamic art and the early historiography of Islamic art. Current research explores Arabic, Persian, and Turkish art and architecture of the Middle Ages and modern times in
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will contribute to cutting-edge theoretical research in topics including (but not limited to): • Quantum architectures, compilation, and scalable quantum systems • Quantum error correction
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on modelling of the transport, electrochemistry, and mechanics of next-generation lithium/air electrode materials and cell architectures. Using input data from experiments, the post holder will develop and
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on modelling of the transport, electrochemistry, and mechanics of next-generation lithium/air electrode materials and cell architectures. Using input data from experiments, the post holder will develop and
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/events within cyberspace and cyber-physical systems, presenting both opportunities and challenges. Currently, these software architectures do not take advantage of emerging Geospatial-AI (Geo-AI
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datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep learning architectures including generative models, particularly
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About the role We are seeking a full-time Postdoctoral Research Associate in Power System Optimisation for Second-Life Battery Storage to join the Power Systems Architecture Lab within