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of the elderly to space robotics. We are now looking for a Doctoral Researcher in quantum computing and algorithms. Are you as excited about quantum technology and its future applications as we are? We are now
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property somewhat specific to nuclear systems amongst all many-body quantum systems. The project involves developing quantum algorithms for implementation on near-term fault-tolerant quantum computers
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to use complex computer code e.g., TRACK algorithm · Difficulty to grasp analytic techniques used outside of academia and used within the insurance industry · Difficulty in complex
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-ray Computed Tomography (XCT) has evolved into a significant "big data" challenge, with a single scanner easily generating over 10TB of data annually. The sheer volume of this structured data creates
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Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC
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Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This PhD offers an exciting opportunity to explore reservoir computing, a new
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Start date: 28/09/2026 Funding Sponsored by Cranfield University, this full-time PhD Studentship will cover the PhD programme fees and provide an annual bursary of £20,780 (tax free) for three years
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A Unified Framework for Reservoir Computing: From Theory to Real-World Systems Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This
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science or systems engineering. Knowledge of AI/ML algorithms, particularly graph neural networks and reinforcement learning, is highly advantageous. A keen interest in distributed computing, IoT architecture, and
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, or artificial intelligence. Knowledge of control systems, system modelling, and data-driven modelling approaches. Proven ability to discretise continuous-time models and implement real-time estimation algorithms