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Background Cardiovascular disease is a major global health challenge, and early identification of individuals at increased risk is important for prevention and timely clinical intervention. The increasing availability of electronic health records, clinical measurements, medical imaging and...
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Background Endometriosis and Polycystic Ovary Syndrome (PCOS) are complex conditions with diverse clinical presentations and potentially long-term health impacts. Variability in symptoms and disease progression can make early identification and risk assessment challenging. The increasing...
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Migration Analyst will join the Student Management System Transformation (SMST) Program, supporting the Data Migration Lead in delivering an end to end data migration solution to enable migration of data from
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Large language models increasingly adapt using external feedback to alter inference-time behaviour, persistent state or model parameters. However, the signals that drive these changes may be noisy, biased, incomplete, delayed, correlated with the model’s own errors, or progressively underused...
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1. Research Objectives & Clinical Problem Late-stage diagnosis remains the leading cause of high mortality in ovarian cancer, as early stages are often asymptomatic or present with non-specific abdominal symptoms. Standalone clinical indicators like CA125 or traditional screening algorithms...
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Background Diabetes can lead to serious complications, including peripheral neuropathy, peripheral arterial disease, diabetic foot ulcers and lower-limb amputation. Early identification of patients at increased risk is important for timely intervention, preventive care and improved clinical...
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program, supporting a high-quality student learning experience within a contemporary medical education environment. The position will contribute to the design and implementation of high-quality assessment
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senior leadership role responsible for leading the finance transformation workstream within the University's Enterprise Resource Planning (ERP) Program. The role is accountable for defining and delivering
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This project focuses on developing a gait detection system leveraging computer vision techniques to recognize individuals in security footage, even when their faces and skin are obscured. Criminals
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have experience supervising staff, motivating teams and fostering a strong customer‑focused culture. Advanced computer literacy and strong planning and organisational capability round out your skill set