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This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum
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of analytical data to guide the generation of highly accurate 3D/2D molecular graphs or SMILES representations. Research Aims and Objectives This project aims to develop a robust, data-efficient deep learning
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Contextual Data Analytics (ICDA) as a method to address contextual analysis challenges by bringing rich contextual information to the analyst’s workspace. Despite the technological capability to support ICDA
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seamless and efficient data loads and post migration validation processes. The ideal candidate has strong analytical skills, a keen eye for detail, and the required technical skills to develop data
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, or an equivalent combination of strategic management expertise and analytical training. You must possess demonstrated skill in complex data modeling, international rankings and research performance analytics and
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Analytics. Business Analytics is a core strength of the Department, underpinned by internationally recognised expertise in statistics, statistical modelling, and data science. We deliver leading undergraduate
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of Psychological Sciences and Turner Institute for Brain and Mental Health, the position will support study coordination, data collection and management, data analysis and evaluation of a digital brain health
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Analytics is a core strength of the Department, underpinned by internationally recognised expertise in statistics, statistical modelling, and data science. We deliver leading undergraduate and postgraduate
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trials. In this role, you’ll oversee trial activities from site set-up and staff training through to data monitoring, reporting and completion, contributing to high-impact research outcomes. Working
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advice and user support, deliver training, develop methods, troubleshoot instrumentation and ensure high-quality data to support world-class research. You will also support X-ray Computed Tomography (XCT