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equivalent level of professional qualifications and experience, with expertise in at least one of the areas: machine learning, applied topology, and/or probability theory. About the School The School has
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genomics/transcriptomics, computational biology and machine learning. The overarching aim of the project is to develop strategies to treat patients with rare genetic disorders at scale. Duties will include
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About the Role Applications are invited for a post-doctoral research associate to lead on a Barts Charity funded project. The research involves application of machine learning methods to heart and
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areas: machine learning, applied topology, and/or probability theory. About the School The School has an exceptionally strong research presence across the spectrum of Mathematical Sciences. It is part of
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About the Role The overall objective of the project is to develop a reduced-order surrogate model for predicting the ammonia direct injection spray characteristics using hybrid machine learning
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diagnostic tools to support the managements of patients with stroke. This is a unique opportunity to work in a multi-disciplinary, collaborative environment at the interface of AI, machine learning
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where appropriate. About You PhD in the broad area of Computer Science/Engineering and/or Applied Mathematics Detailed and highly specialised knowledge and understanding of Computer Vision, Deep Learning
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We are looking to appoint a research scientist to carry out research in machine learning and artificial intelligence to develop interpretable clinical decision support tools and novel methodologies
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chemical research, developing and implementing novel methods for interpretable, safe, and aligned machine learning systems. You should possess a PhD or DPhil (or near completion of) in Machine Learning. You
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We are looking to appoint a research scientist to carry out research in machine learning and artificial intelligence to develop interpretable clinical decision support tools and novel methodologies