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inherited from steel scrap on slag performance and utilisation in the scrap-based electric arc furnace (EAF) steelmaking. The research will support the steel industry’s transition to net-zero steel
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The South and East Network for Social Sciences (SENSS) offers fully-funded studentships – fees paid plus a stipend (salary) of between £20,780 and £22,780 per year – for postgraduate researchers
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of the Hub. Our approach enhances T2 (Interconnected QC systems) through verification methods for connected networks, supports T1 (Integrated quantum demonstrators) via hardware-agnostic metrics, and enables
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sustainable, safer, and more reliable public transportation system. This project will give you access to unique field data and expert knowledge, and the opportunity to visit Network Rail and work with
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to conduct 9 months of field research, often in the absence of running water, electricity, and network connectivity, and roads, and with simple meals. These environments require adaptability, cultural
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
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mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and machine learning frameworks such as recurrent
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of the Hub. Our approach enhances T2 (Interconnected QC systems) through verification methods for connected networks, supports T1 (Integrated quantum demonstrators) via hardware-agnostic metrics, and enables
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and goals Your network and team The project will be led and PhD position supervised by Associate Professor, D.Sc., architect Matti Kuittinen, but you will also collaborate with other professors
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partner Tata Steel UK. The project aims to advance fundamental knowledge on the impact of residual elements inherited from steel scrap on slag performance and utilisation in the scrap-based electric arc