13 machine-learning "The University of Edinburgh" Postdoctoral positions at University of Oxford 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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shift in how online teaching and learning is viewed. The role will help to position a prestigious brand in the dynamic and high growth global market for online education. Oxford’s traditional brand is
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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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efficiency and environmental sustainability. Your scientific research will focus on the development of machine/deep learning-based medical image analysis methods for computerised tomography scans (CT scans
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the risk of many diseases, including developmental disorders and cancer. In this role, you will work on the development of statistical models and machine learning algorithms and their application to large
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(DataAcq) project. This is a timely project developing new methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related
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experience would likely come from economics, physics, or other computer and mathematical sciences. You will possess sufficient specialist knowledge in the discipline to work within established research
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to different audiences at national and international conferences. The post-holder will have the opportunity to teach. Applicants should hold a PhD, or be close to completion, in physics or a related field