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Field
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Associate to join a research project based in the groups of Prof. Aurora J. Cruz-Cabeza and Prof. John Evans. The project is part of a new £7m EPSRC funded Programme Grant that brings together a team of
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have strong quantitative analysis skills, using statistical programming packages such as R, as well as excellent communication skills. This is a full time, fixed term post (part time considered) for 3
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concept of agents has come to the fore again, prompted by the rise of Large Language Models (LLMs) – put crudely, the idea is to use LLMs, in the sense of being powerful general purpose intelligent systems
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on common medical imaging data augmentation techniques for robust model design. Strong written & oral communication skills including evidence of publishing peer reviewed research articles. Desirable criteria
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United Kingdom Application Deadline 8 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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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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surveys, early universe and gravitational physics. Good programming experience, an enthusiasm for coding and data analysis, and the ability to work in a large collaboration, are particularly relevant
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at regular GLIDE workshops. You will be responsible for carrying out collaborative research with colleagues at the Berman Institute and play a key role in participating in the exchange programme with Johns
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. Fluent English is required along with some proficiency in German and/or French. The postholder will join an internationally oriented team of scholars and cultural sector partners mobilising archival
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holder will be expected to work within the context of the ongoing research programme in the lab, to share their technical, analysis, and conceptual knowledge with other lab members, and to contribute