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for applications is 12:00 on Monday 7th July 2025. Interviews will be held as soon as possible thereafter. At the Dunn School we are committed to supporting the professional and career development of our postdocs
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on single-agent settings. We are seeking a highly motivated postdoc to conduct research into this fast-moving area. Directions may include investigating quality evaluation methods for multi-agent systems
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Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the
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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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the Institute and at national and international meetings/conferences. You will be expected to actively participate in Group/Institute research meetings and internal seminars as well as submit publications to high
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deliver the first comprehensive assessment of current and future high-impact extreme weather events in Antarctica and their associated risks. Key risks include impacts of extreme weather on vulnerable ice
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the performance of lithium ion technologies. To support the programme, the post holder will be required to carry out research on characterisation of battery degradation, with a particular focus on the application
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. At the Dunn School we are committed to supporting the professional and career development of our postdocs and research staff. To help them thrive and achieve their ambitions, we have created a comprehensive
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science, who are excited about testing conceptual biological questions in vivo, and who thrive in professional and high-pressure environments where scientific curiosity and focus drive excellence. You will
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improvement and enhance our ability to maximize these benefits. The post-holder will contribute to high-quality research activities supporting this project and promote open science and use transparent reporting