609 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" PhD positions in United Kingdom
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Field
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High Mountain Asia (HMA), known as Asia’s Water Tower, is undergoing rapid economic development with growing populations in quickly developing countries. However, future development is hampered by
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bioinformatic skills to predict the evolution of rare diseases? FSHD is a rare neuromuscular disorder. No approved treatment is currently available. Slow and variable disease progression complicate trial design
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. Project details In this project we aim to develop graph deep learning methods that model spatial-temporal brain dynamics for accurate and interpretable detection of neurodegenerative diseases
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how standard production practices impact biodegradability is essential for creating more sustainable textile alternatives. This research aims to develop a robust framework for measuring biodegradability
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Centre for Experimental Fuel Technologies (CEFT), which aims to develop innovative fuel cell and battery technologies, underpinned by fundamental understanding. The Centre is an exciting venture bringing
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input needs, accompanied by a boost in algorithmic development, e.g., multi-modal learning, transfer learning, federate learning, and knowledge embedding, etc. However, a significant motivation of
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control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
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for greater precision. Machine learning (ML) algorithms will analyse these datasets to deliver a scalable, cost-effective system, validated through field trials and enhanced by contributions from four
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energy; thereby minimising farming’s environmental impact. AI machine learning offers a new expedient method of developing control systems for tasks that would be difficult to manage using classical
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. Building upon existing expertise in porous media modelling within the Thermo-Fluids Research Group (UoM), the project will analyse and volume-average these data to develop targeted refinements or propose