10 machine-learning-phd-"Computer-Vision-Center" PhD positions at Manchester Metropolitan University
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for representing and combining multimodal information over time. Grounded in machine learning, representation learning, and efficient algorithms, the work addresses real-world challenges in sustainable and
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machine learning (ML) and artificial intelligence (AI) workflows, the project aims to create a comprehensive molecular atlas and identify novel, translational biomarkers and therapeutic targets. Project
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, or other related academic discipline. Good programming skills (preferably Python). Background/work experience in Cyber Security, Machine Learning, and Finance would be highly beneficial. How to apply
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This 3-year full-time funded PhD opportunity in partnership between Department of Life Sciences at Manchester Metropolitan University and Liverpool Heart and Chest Hospital . This project provides
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. This PhD project will develop a Confidential and Explainable AI framework for EV charging networks. You will explore cutting-edge techniques such as privacy-preserving analytics, Trusted Execution
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progress from fundamental surface science to the fabrication of intelligent, multiplexed sensor arrays, enabling fast and reliable cardiovascular health monitoring. This exciting 3-year PhD will be conducted
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Computer Science or MSc in related field. Skills Knowledge of programming, Computer Vision, Machine Learning, or related discipline. Experience with Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow
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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
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discussion. To apply you will need to complete the online application form for a full time PhD in Sports & Exercise Science Please complete the Doctoral Project Applicant Form , and include your CV and a
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-Allah: z.abd-allah@mmu.ac.uk , Principal supervisor, for an informal discussion. To apply you will need to complete the online application form for a full time PhD in Engineering Please complete