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-linear systems of ordinary differential equations and the proficient use statistical programming languages (R, Julia or Python), Bash computing and the development of computational packages are essential
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—and machine learning to work within established research programmes. A strong, demonstrable experience in research software development using Python programming language and modern machine learning
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that form our core research programme. They will be a cornerstone of the centre, collaborating across our three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and
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completed, or be close to completing, a PhD/DPhil in a relevant quantitative field together with a demonstrable track record in studying humans and machine learning models. Advanced programming and
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agentic architectures for autonomous scientific reasoning and planning; • AI social scientists, including language-model-based and agent-based simulations for social science domains such as history
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mathematical skills, a strong understanding of mechanics and an ability to undertake scientific programming. You will have excellent written and oral communication skills, and an ability to work both
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strong potential o Proficiency in Python and/or R programming languages o Experience working in high-performance computing (HPC) environments o Command line proficiency and BASH scripting
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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research and associated activities including public engagement activities, with the reading ability in relevant European and/or non-European languages (depending on specialism). Expertise in one or more of
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towns programme, organise and run patient and public involvement events to engage with community members and innovate, contribute to and promote the research, publication and impact focus of the centre in