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of advanced X-ray methods to explore chemical, crystallographic and morphological changes that drive battery performance loss. You should possess a doctorate in a relevant engineering or physical science
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challenge. We seek a senior computational biologist to apply these extensive in-house datasets toward the development of novel, domain-tailored machine-learning models and analytical methods. You will explore
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original research on the grid integration of second life battery storage systems. The research will bring together second-life battery modelling, power system optimisation and technoeconomic evaluation
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scientific oversight from Oxford Principal Investigators and GSK scientists, the centre will initially focus on some of the following thematic areas: • Decision analysis under model misspecification
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. Working closely with local areas across the UK, you will help uncover how ideas are tested, how learning occurs in real time, and how systems evolve. You will also play a key role in advancing real-time
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experience in working with human neuronal cell lines that provide models of understanding the biology of protein aggregation and its phenotypes. About you Applicants must hold a PhD in Chemistry or a relevant
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, biochemistry, cell-based and model organism. You will be expected to manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects
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and how it evolves. In particular we focus on the evolution and evolvability of vertebral counts, and we use various species of Lake Malawi cichlids as our model organism. To address these questions, we
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analyses to patient-derived samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, they will help generate and interpret high-resolution datasets
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language processing (large language models) to investigate the brain computations supporting planning in humans, and how this can go awry in psychosis. What We Offer As an employer, we genuinely care about our