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opportunity to join a brand new programme team deploying AI solutions across the University, This programme team has been formed of colleagues from across the university to deliver an ambitious and exciting
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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and other general tasks, which may include correspondence and deputising in their absence. You must hold GCSEs (or equivalent) at a grade C or above in Maths and English, have the ability to organise
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deliver plain language, open access, action-oriented political economy products that can be used by anyone to understand and tackle political constraints in growth and development. You will be a core member
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and organise data from public sources, surveys, and institutional datasets, in both Chinese and English language, conduct advanced text analysis using NLP techniques, and apply and fine-tune LLMs
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verbal English) skills, and be a good team player, who works well on own initiative but also seeks guidance and follows instructions comfortably. You will possess advanced office and IT skills for document
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to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs
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-workers. Excellent oral and written communication skills, including proven ability to write in English at a suitable standard You will experience of flow cytometry and experience with tissue culture
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educated to at least GCSE standard or equivalent in English and Mathematics, and have previous experience working in a fast-paced, customer-facing environment. You will be passionate about achieving personal
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conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a related field together with strong programming skills in Python, R