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related to staff position within a Research Infrastructure? No Offer Description Overview Qualification type: PhD Subject area: Control and Machine Learning Location/Campus: College Lane, Hatfield Closing
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Overview Qualification type: PhD Subject area: Control and Machine Learning Location/Campus: College Lane, Hatfield Closing application date: 10 June 2024 Start date: July 2024 or as soon as
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. The student will benefit from Exeter’s expertise in Statistics, Data Science, and Machine Learning, and be part of a vibrant community of bright PhD students working on environmental problems. The student will
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sustainability analysis through a machine learning (ML) and explainable artificial intelligence (XAI) outlook. The project marks a significant advancement in improving public safety against both low-probability
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computer vision? Would you like to apply AI and machine learning for fundamental research in biology? Then you have a part to play as a PhD candidate. By combining simulations and machine learning, you will
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in biology? Then you have a part to play as a PhD candidate. By combining simulations and machine learning, you will help us develop new, innovative methods to extract knowledge from immune cell
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is expanding its PhD research in the area of medical data analysis. We aim to implement machine learning to analyse atomic force microscopy nanoindentation data towards automated diagnosis of cancer
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Description of the offer : In this PhD project, a machine learning algorithm will be developed for magnetic systems. Specifically, the project aims to solve non-linear magnetic equations (e.g
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to leverage innovative machine learning (ML) techniques adept at handling sparse information. The impact of data pre-processing techniques will be assessed with the aim of improving the accuracy of predictions
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models validated in WP3 will be implemented in the free TDMx software. What we offer The future PhD student will benefit from the expertise in pharmacometrics and machine learning of Profs Grégoire and