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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities
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Computer Science, Electrical Engineering, Cybersecurity, or a related discipline. Strong programming skills (Python or similar). Knowledge of AI/ML concepts and techniques. Understanding of cybersecurity
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applicants with the opportunity to undertake an original multi-disciplinary impactful programme of applied research by working with heart failure patients, their clinical carers, and academic researchers. Core
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in the course of the disease would result in better outcomes for the patient. We are looking for candidates to research computer vision and artificial intelligence techniques to create an objective
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, chemists and computational experts pioneering research using an advanced, optogenetically controlled human-based nerve-muscle model. Using functional, molecular and metabolomics technologies, integrated with
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Cardiovascular disease remains the leading cause of death worldwide, highlighting the urgent need for rapid, cost-effective, and accurate diagnostic tools. Current methods for detecting cardiac biomarkers such as troponins, BNP, and CRP are often slow, expensive, and reliant on centralised...
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on understanding what is essential for multimodal learning when computation, memory, or energy are limited. Rather than scaling up models, the research aims to identify principled, lightweight methods
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to enhance patient engagement and programme design Funding Only Home students can apply. Tuition fees will be covered for the duration of the three-year award, which is £5,006 for the year 2025/26. The student
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Project advert Do you want to digitally transform higher education (HE) learning experiences? This novel project aims to combine Artificial Intelligence (AI) and Extended Reality (XR) to create a transformative educational tool. XR technologies enable immersive, interactive, and collaborative...