11 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" PhD positions at Manchester Metropolitan University in United Kingdom
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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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functionalisation strategies, and cutting-edge characterisation techniques (including Manchester Met’s unique in-situ electrochemical-AFM-nanoRaman (TERS) system) to optimise sensor performance. The research will
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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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conducted by the project supervisors. Candidates selected from this stage will be invited to a second-round interview, where final funding decisions will be made based on performance across all projects
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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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to generate robust scientific evidence on the ecological and environmental performance of urban green infrastructure. Objectives include: Quantifying the biodiversity and environmental benefits of living walls
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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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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