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fundamental theoretical platform. We currently have a number of Research Associate vacancies to support this Challenge and its projects in the following areas: Advanced Methods and Algorithms Applied
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related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm and experience in using these algorithm for electrical engineering problems
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and fabrication of microfluidic systems, with demonstratable skills in sensors, micro-fabrication, electronics and programming. We are looking for a self-motivated person, able to organise their own
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project quotes based on defect inputs, and real-time supply chain performance, embedding decision-making algorithms and learning mechanisms into business operations, whilst moving away from manual and
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), 5G/6G wireless networks. Network virtualisation, Telecommunication Systems, Software defined Systems and Networking, Network/Device security for Mobile Systems, Sensors (specifically RF and Optical
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, curriculum over geometry/BCs, calibration of predictive uncertainty, and robustness to sensor noise. Tasks: forward prediction (temperature fields), inverse reconstruction (defect size, depth, orientation
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We are looking for a motivated Research Associate to conduct research in Algorithms and Computational Complexity, with applications to Game Theory and Optimisation. The research is led by Paul
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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
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composites To propagate uncertainty in material behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm