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. This project will require a strong molecular biology background, knowledge in AI-based protein structural prediction, in vitro expression systems and cryo-EM, experience in analyzing large datasets, and solid
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the stability and reliability of these materials in optoelectronic devices. The post-holder will have the opportunity to teach. Applicants should possess or be close to obtaining a PhD in physics, materials
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research aligned with the project aims outlined by Dr Pathania and funded by Ludwig Cancer Research. You will critically analyse, interpret and present experimental data with scientific rigor and
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learning systems. Reporting to the principal investigator, Professor Christopher Summerfield, the post holder will be a member of the Human Information Processing Lab. They will be responsible for carrying
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
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the remit of this large-scale project and will have the opportunity to do so in several ways including independently, collaboratively with other members of the group and other research groups at Oxford and/or
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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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• Constrained experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code
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O’Brien’s research groups at the Department of Engineering Science (Central Oxford). The post is fixed term for two years and is funded by the EPSRC. The development of large-scale quantum computers will