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to the building. You will also contribute to team efforts in maintaining the smooth operation of the administrative and building management functions of the Institute. As well as being the first point of contact
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successful candidate will possess skills in natural language processing and deep learning. Experience of studying the robustness and generalisability of LLM would be beneficial. This is a full time post (35
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should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine
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experience in relevant area. Knowledge or interest in Natural Language Processing, ideally as applied to big biomedical data. Programming using one or more of the following: Python, R, Javascript. Clinical
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applications (e.g. natural language processing, multivariate time-series data), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine
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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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issues, and a keen interest in architecture and design. Applicants should demonstrate the ability to conduct independent research and publish in high-quality scholarly journals. Fluent English is required