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towards the common goal of delivering a high-quality programme to students in a timely and effective manner. In addition, the job holder is required to support other PGC programme(s) in key areas as
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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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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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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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‑on experimental support where required, while guiding junior researchers and fostering a high‑performance research culture. Engage actively with stakeholders across academia, industry, and other partner
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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
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contract basis, renewable subject to performance and project needs. Project Title: Profiling Academic Trajectories and Heterogeneity of Low-Progress Learners for Enhancing Learning Support (PATHS) Project
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of Research Associate/Research Fellow will focus on developing advanced high throughput phenotyping tools for assessing the performance of genotypes under abiotic and biotic stresses that occur in indoor
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unstructured data to enhance intelligent decision-making and real-world application performance. Job Description: Conduct high-quality research in recommendation systems, graph neural networks, and multimodal