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. Philipp Petersen, M.Sc.. The research areas developed by the team are in particular related to theoretical analysis of classical problems in numerical analysis in the framework of modern algorithms
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and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected from in-service
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, and maintaining software systems to support these research projects. This includes building data pipelines, developing algorithms, and ensuring that data is stored efficiently and is accessible to all
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to work across disciplines, with an interest (or willingness to develop expertise) in areas such as machine learning, route planning algorithms, aircraft design and testing, and systems engineering. For a
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Deadline: 31 October 2025 Details This project aims to develop new algorithms for reinforcement learning from human feedback, to effectively solve complex reinforcement learning tasks without a predefined
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, including how to guarantee the properties of stability and constraint satisfaction while probing the system and learning a new model. This project aims to develop novel algorithms for the adaptive distributed
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electromagnetic design. We will explore advanced topologies for mmwave metasurfaces, design novel reconfiguration mechanisms, and develop intelligent algorithms to optimize scattering characteristics in real-time
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and Algorithms Ethics and Responsible AI The post holder will be expected to lecture on modules and programmes at undergraduate and postgraduate levels and take on programme leadership duties (at Senior
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processing, data analysis, data-driven modelling, optimisation and computation algorithms, machine learning models and neural network structures, as well as strong skills and experiences in computational
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from such machines to derive algorithms expressing their state of health and next maintenance needs. A background in both engineering and machine learning would be useful, although help is readily