15 machine-learning "The University of Edinburgh" Postdoctoral positions in United Kingdom
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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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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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computing, AI, biomedical engineering or signal processing) or a higher degree (e.g. MSc) with substantial experience in multimodal machine learning with appropriate track record. Excellent programming skills
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research in the form of papers, posters or oral presentations Understanding of the concepts and application of research ethics Desirable criteria Expertise in Python programming for Machine and Deep Learning
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Bournemouth University’s vision is worldwide recognition as a leading university for inspiring learning, advancing knowledge and enriching society through the fusion of education, research and
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their own niche of professional training and development. Examples of projects from the lab include identification of cancer drivers in individual patients using machine learning (Mourikis Nature Comms 2019
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jurisprudents, theologians, and military writers across the Holy Roman Empire. The project aims to establish the impact of atrocity, for instance, on thinking about the nature of just conduct of war both inter
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Bournemouth University’s vision is worldwide recognition as a leading university for inspiring learning, advancing knowledge and enriching society through the fusion of education, research and
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centre of discovery and innovation. With a broad portfolio across computer sciences, engineering, built environment and human and natural sciences, we are one of the largest schools within the University
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computer software programmes. You will have excellent written and oral communication skills, with an ability to work both independently and as part of a multidisciplinary research team. Additional