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methodology to better understand the safety and performance risks. Finally, multiscale simulations will be used to map learnings from laboratory-based systems (up to10 kW) to predict the behaviour and
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role: This post, funded by an ERC Consolidator Grant (DISCO), focuses on the dynamic behaviour of ferroelectric domain walls using advanced cryogenic and electrically biased 4D scanning transmission
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plant groups and using similar techniques. Ultimately you will help synthesise molecular and other datasets to gain an understanding of how Autonoe have spread and evolved in relation to climate and
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the subject of the email: a downloaded copy of your application form. a short project proposal outlining how you would approach the project (up to 2,000 words, excluding references). a full academic CV (maximum
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physical laws, or an implicit form of extra data examples collected from physical simulations or their ML surrogates. In medical domains, patient data is typically distributed across multiple hospitals
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and/or computer-based simulations, and a formal dissertation-style report. We are seeking to increase the diversity within our community and would particularly encourage applicants from underrepresented
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As part of the Restoration Ecology and Dynamics (READY) Doctoral Focal Award, we invite applications to the following PhD project: Assessing and enhancing functional biodiversity in solar parks and
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support commercialisation of a simulated autonomous road maintenance vehicle. Study CAV interfaces and propose and design a standard API for the cloud-based platform. Key Competencies: Strong analytical and
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season properties (e.g. number, intensity) for lead times ranging from one to approximately six months in the latest generation of dynamical seasonal and decadal forecast models. Seasonal forecasts
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factors influence this, including multi-sensory perceptions, design features and vehicle dynamics. A focus on these factors not only has the potential to improve customer satisfaction but also reduce driver