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at an atomic-resolution level, uncovering causal links of their microstructure with optoelectronic properties and stability. These advances will be accomplished through a co-ordinated and well-interlinked
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Academy of Engineering Green Future Fellowship, the postholder will design and integrate automated experimental workflows and data pipelines to accelerate the discovery and optimisation of OPV devices
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Academy of Engineering Green Future Fellowship, the postholder will design and integrate automated experimental workflows and data pipelines to accelerate the discovery and optimisation of OPV devices
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, please see the link below. The University of Oxford is committed to equal opportunity, and to being an inclusive institution where everyone belongs and is supported to succeed. We recognise how
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these and to deduce fluxes of heat and material across the MTZ. The post holders will be responsible for compiling seismic data sets (focusing on surface-wave overtones and body-wave data including precursors
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of Israel Studies in Oxford: contributing towards teaching and supervision in their area of expertise; organising research seminars and conferences; and cultivating links with other scholars in relevant
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will include coordinating multiple aspects of the project, refining working hypotheses in light of new data, and contributing ideas for new research directions. The post-holder will be encouraged
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while contributing conceptually to the overall research programme. This will include coordinating multiple aspects of the project, refining working hypotheses in light of new data, and contributing ideas
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operando data related to battery degradation and safety. You will develop and implement advanced deep learning models to analyse multi-modal operando data from accelerated stress testing, with the aim
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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The project involves a combination of optical imaging, nanofabrication, data analysis, and