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operating in complex, multi-stakeholder environments. You bring: Demonstrated experience coordinating clinical research projects, trials, or large-scale data initiatives Strong project management capability
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The primary objective of this project is to enhance Large Language Models (LLMs) by incorporating software knowledge documentation. Our approach involves utilizing existing LLMs and refining them
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that will support data-intensive and latency-sensitive workloads. We are seeking an experienced and proactive Senior Systems Engineer to lead the management and optimisation of our enterprise-grade
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, and interpretability of quantum-inspired models against classical machine learning methods. Develop a prototype system integrated with learning management system (LMS) data (e.g., Moodle) to demonstrate
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As education systems increasingly adopt AI to support teaching and learning, the automation of assessment and feedback processes has emerged as a critical area of innovation. Large-scale learning
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, and costs of running diverse applications in large-scale distributed systems. This project offers researchers and students a chance to explore cutting-edge concepts in AI-driven infrastructure
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The Research Database Manager plays a key role in supporting the Faculty’s education and research activities through the development, management, and effective use of commercial data platforms. These resources
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Research data governance is an under-explored issue, and technical infrastructures to support the transparency and control of data collected in human research studies (from medicine to social
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team shaping national policy As Research Fellow, turn big data into real-world impact The Opportunity The National Addiction and Mental Health Surveillance Unit (NAMHSU) is leading a Medical Research
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of the REMAP clinical trial, contributing to large-scale, multicentre research that directly informs patient care and clinical practice. This is a dynamic and hands-on role suited to someone who thrives in a