10 deep-learning-phd-"Computer-Vision-Center" PhD positions at Manchester Metropolitan University
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accessible AI. Project aims and objectives The aim of this PhD project is to develop principled and efficient methods for multimodal learning under resource constraints. The research seeks to understand how
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structure. This PhD project will investigate systemic financial risks emerging from the convergence of agentic artificial intelligence and retail trading platforms. Using a combination of experimental
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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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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