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behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
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sustainability goals whilst improving operational efficiency? This PhD studentship will involve developing machine learning models, creating virtual manufacturing replicas, and implementing optimisation algorithms
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surgical navigation during robotic-assisted surgical task execution; Machine Learning (ML) for multimodal tissue characterisation for computer-assisted diagnosis and decision making. The post is funded by
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computational and machine learning approaches to integrate Oxford Nanopore (ONT) long-read data with bulk and single-cell RNA-seq profiles. The aim is to identify host-microbiome molecular signatures that drive
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of Birmingham is inviting applications for a Research Fellow position focused on Machine Learning for Automated Formal Verification. Machine learning has transformed programming, with code generation rapidly
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decision making, while you will be capable to apply machine learning and computational algorithms of social choice. This post is associated with following projects: Embedding EDI in the Distribution
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: Erlangen Programme for AI” This is a 5-year programme supported by the EPSRC and is a collaboration of mathematicians and computer scientists at the University of Southampton, the University of Oxford (lead
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models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
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The School of Computer Science and Electronic Engineering is seeking to recruit a Professor in Machine Learning and AI with a focus on Large Machine Learning Models to expand our dynamic team
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The School of Computer Science and Electronic Engineering is seeking to recruit a Professor in Machine Learning and AI with a focus on Large Machine Learning Models to expand our dynamic team