41 machine-learning "The University of Edinburgh" Postdoctoral positions at University of Oxford in United Kingdom
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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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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
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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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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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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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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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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 mentor students undertaking masters projects and internships in the research team. • The post-holder will have the opportunity to teach. This may include lecturing, small group teaching, and tutoring
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of numerical techniques, cleanroom device fabrication, setup and operation of cryogenic systems, and microwave control electronics and software. The post-holder will have the opportunity to teach. Applicants
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willingness to learn new methodologies, developing statistical models. They will have a good working knowledge of modern applied statistical techniques, and analysing routine health care data sets. Experience