168 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Oxford in United Kingdom
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focus on the development of new theoretical frameworks, implementation of new methods in first principles computational modelling packages, and direct application to representative solid state systems
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PhD in Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in computational chemistry, including machine learning
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best suit a candidate with a PhD and relevant experience in molecular/plant biology and mass spectrometry. You must work as part of a team, be willing to learn new methods and skills and have excellent
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. The post-holder will have the opportunity to teach. Applicants should hold PhD in Astrophysics or a related field. A strong background in Radio interferometry observation and sufficient specialist knowledge
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a PhD/DPhil or equivalent in a quantitative discipline such as computer science, statistics, machine learning, statistical or population genetics, or a related field. They should have experience in
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We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image
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projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
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objects such as neutron stars and black holes. Strong computational experience and proficiency in simulations is highly preferred. The post-holder may be expected to help in the supervision of DPhil and
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
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that your work will contribute towards advancing the state of the art in computer guided endoscopy. You should hold a relevant PhD/DPhil or be close to completion, with relevant experience in the field