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Job Description Job Alerts Link Apply now Job Title: Research Fellow (High-Performance AI Computing Systems) Posting Start Date: 20/01/2026 Job Description: Job Description We are seeking a highly
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to the Undergraduate Education matters of the School of Social Sciences, with the objective to ensure a smooth operation, timely and high- quality programme delivery to students. Key Responsibilities: Work closely with
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teaching and functional teams to strengthen service delivery, uphold operational excellence, and ensure a consistent, high‑quality experience for students. Performing data analysis and preparing insightful
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models and metrics for fairness in decentralized environments. Develop prototype systems and perform experiments on real-world datasets and platforms. Publish research outcomes in high-quality venues and
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., battery systems, energy flows, simulations). Build and optimize interactive data visualization components (dashboards, charts, 3D views) using modern frameworks (e.g., React, WebGL), ensuring high
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to design, analyse, and operate high-power and high-voltage electrical systems, ensuring safe, reliable, and compliant operation across our facilities. The candicate will work closely with the Principal
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optimisation, algorithm design and high-performance computing, with application to airport innovation. Successful candidates will join an active group of Principal Investigators and researchers to work within
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, PyTorch) Experience with numerical simulations, algorithm design, or high-performance computing is advantageous Familiarity with quantum software frameworks (e.g., Qiskit, PennyLane, Cirq) is preferred
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undertake the responsibilities towards the development of new photopolymers and biomaterials. Key Responsibilities: Operate nano-computed tomography (nano-CT) systems to perform high-resolution 3D imaging
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Opportunity As Director, Operations, you will: Lead and inspire a high-performing team of senior administrators, including both direct reports and matrix teams across Schools and Centres, across all operational