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EPSRC CASE Studentship. University of Sheffield and Syngenta Crop Protection Machine learning is increasingly used for decision making and molecular design in the pharmaceutical and crop protection
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About the Project This PhD project aims to develop personalised conversational systems by leveraging user simulation, supported by recent advancements in large language models with their strong
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meaningful features from these sensor data and apply machine learning algorithms to predict health outcomes; 2) to explore advanced deep learning methodologies to further exploit the information embedded
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PhD Scholarship: Real-Time Brain Injury Prediction and Protection Framework for Intelligent Vehicles
. The core objectives include: Based on existing car collision simulation and traffic accident database, using machine learning methods to establish the relationship between vehicle kinematics and occupant
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. The data generated will be interrogated through machine learning techniques and closed-loop feedback (in collaboration with ML-focussed PhD students) to optimise multi-component systems against a range of
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We have an exciting role working with collaborators in Sheffield and at Ohio State University that combines ecology, machine learning, hardware and software development to solve a critical challenge
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, if applicable, a family allowance of £4,402 PhD tuition fees will be paid in full by CASCADE Summary: We are recruiting for two PhD studentships in the Digital Humanities Institute, as part of the new