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Functional lung image synthesis using machine/deep learning: development, validation and application
Functional lung image synthesis using machine/deep learning: development, validation and application School of Medicine and Population Health PhD Research Project Competition Funded Students
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vision, machine learning, deep learning, AI Funding Notes The Faculty of Health is offering a number of scholarships for the academic year 2024/5 for eligible students. This project is being considered
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recognition from smart sensor data and brain-computer interfacing. Supervisor Bio Dr Matthew Ellis is a Lecturer in Machine Learning within the Department of Computer Science. With a background in theoretical
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-Joyce ([email protected]) for more information. Learn More: The Leonardo Centre: www.sheffield.ac.uk/leonardocentre John Crane Ltd: https://www.johncrane.com/ More information About the Project
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, machine learning, advanced finite element analysis; Desirable: computer modelling, solid mechanics, experience with Ansys or equivalent software, a final year project on a machine learning/biomechanics
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utilising wearable devices to date. Your primary tasks will include: 1) to extract meaningful features from these sensor data and apply machine learning algorithms to predict health outcomes; 2) to explore
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damage (less than nanoseconds). This is one area where computer simulations of materials behaviour must be our eyes on these critically important processes. But simulations have their limitations too. We