15 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Manchester in United Kingdom
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the Manchester BHF CRE: Geometric Deep Learning for Complex Manifolds: Novel deep learning theories, models and architectures to simulate interactions within non-Euclidean, patient-specific cardiovascular
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. Neuromorphic sensing, e.g. astronomical imaging (https://www.optera.au/) Software verification tools for space robotics. Electric Propulsion & Space Debris mitigation The University actively fosters a culture of
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models. Geometric Deep Learning for Structural Synthesis: Leveraging Graph Neural Networks (GNNs) and manifold learning to optimise complex geometries in medical device design and advanced manufacturing
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@manchester.ac.uk . The University of Manchester The University of Manchester (www.manchester.ac.uk) enjoys a global reputation for its research and its innovative approach to learning, with an on-going £1 billion
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University of Manchester The University of Manchester (www.manchester.ac.uk) enjoys a global reputation for its research and its innovative approach to learning, with an on-going £1 billion investment in
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inference, and Machine Learning methods. In addition to leading their own research projects, the appointed candidate will have the opportunity to contribute to the projects of PhD students in the group, as
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About the Role: At the University of Manchester, our legacy is built on a history of progression, and a pioneering spirit. As the birthplace of the first stored program computer, the first modern
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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Spiders” awarded to the Computer Science Department of the University of Manchester, see https://www.renaissancephilanthropy.org/learning-to-do-math-with-vampires-and-spiders The formal methods group
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(NLP) and machine learning to analyse text data. For this project the research associate will be based at the Centre for Musculoskeletal Research (CfMR), Centre for Epidemiology, The University