55 machine-learning "The University of Edinburgh" Postdoctoral positions in United Kingdom
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We invite applications for the position of Postdoctoral Research Associate in Machine Learning/Machine Learning Scientist to join the Deep Medicine programme at the Nuffield Department of Women’s
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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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facilitating tutorials in a HE environment. The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn
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) data to prioritise single nucleotide polymorphisms (SNPs) for further validation. The post-holder will join a multidisciplinary team linking researchers at the RVC with UCL, University of Edinburgh, and
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funded Innovator Award that brings together multidisciplinary experts in neuroscience, machine learning, clinical practice, clinical informatics with healthcare innovation (and pharmaceutical industry
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funded Innovator Award that brings together multidisciplinary experts in neuroscience, machine learning, clinical practice, clinical informatics with healthcare innovation (and pharmaceutical industry
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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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to funding. This post is full time. This project will involve adapting and using our existing ultracold erbium and potassium machine for studies of e.g. turbulence, dipolar supersolids and polarons. We
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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