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) Experience working with high-performance computing environments and managing research data and computational resources A strong publication record (e.g. peer-reviewed publications or preprints) demonstrating
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contribute to scalable, rational design strategies for next-generation porous carbon materials and high-performance energy storage devices. Research Objectives and Methodology The project will combine
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, presentations and one-to-one coaching to postgraduate students and alumni. Lead and develop a high-performing team of Employer Engagement Managers, Career Coaches and a Business Development Executive. You will
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learning, statistical, spatial and temporal modelling approaches to understand mental health need, crisis trajectories, service entry patterns, and system performance across rural, coastal, and small urban
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on Linux servers used for High Performance Computing and distributed scale-out storage. You will share responsibilities for a client environment encompassing Linux, Mac and PC systems, ensuring optimal
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An exciting opportunity has arisen to join the Centre for Social Care and Artificial intelligence Learning (SCALE) and School of Computer Science and Informatics. SCALE is funded by Health and Care
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, collecting and analysing experimental and operational data, evaluating machine performance, and preparing high-quality technical reports for industrial partners. The Research Fellow will also be expected
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, adaptability, and sustainability from the outset. By scientifically linking high-level performance objectives to system architecture and design decisions, this research aims to reduce costly late-stage redesign
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potential progression once in post to £39,906 Grade: 6 Full Time, Fixed Term contract up to January 2027 Closing date: 8th April 2026 Background This project is part of an industry-focused research programme
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vendor-neutral cloud solutions on cutting-edge systems and high performance (AI) compute resources. You will play a key role in the project delivery by: Helping produce software prototypes as part of