27 machine-learning-phd "University of Cambridge " positions at University of Cambridge
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. Andreas Vlachos at the University of Cambridge starting in September 2024 or as soon as possible thereafter. The successful candidate will be based in the Natural Language and Information Processing group
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A Research Assistant or Research Associate (post-doc) position in AI and Neuroinformatics is available to work with Prof Zoe Kourtzi (Adaptive Brain Lab, University of Cambridge; https
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Biological Learning Lab, Department of Engineering, University of Cambridge (https://cbl.eng.cam.ac.uk ) and Nathalie Rochefort at the Centre for Discovery Brain Sciences, University of Edinburgh (https
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on methodologies for nowcasting and forecasting epidemics. The project is in collaboration with the Department of Computer Science and Technology at the University of Cambridge and the UK Health Protection Agency
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persons whose work falls within the broad fields of applied mathematical analysis and the mathematics of computation and data science, which includes PDEs, numerical analysis, the mathematics of machine
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; experience in programming, data management and interpretation; comfortable developing data-driven and machine learning approaches from experimental data; ideally has experience in blast engineering, or damage
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independent researcher, including through grant writing, independent papers, consulting, trainings. The skills, qualifications and experience required to perform the role are: PhD in Machine Learning, Climate
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of Computer Science and Technology, at the University of Cambridge, UK. The Prorok Laboratory has a variety of robotic platforms (aerial and ground), and boasts expertise in controlling and deploying them in practice
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We are seeking an ambitious and talented postdoctoral research associate to join our team at the CRUK Cambridge Institute (part of the University of Cambridge) to use comparative genomics to study
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platforms will be designed, capable of efficiently exploring complex mixed variable design spaces on the microlitre scale. Our multisite reactor network will be driven by next generation machine learning