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and outstanding education are interlinked and equally valued. We are seeking to appoint a Postdoctoral Researcher in Computational Materials Modelling to join the Multiscale Materials Modelling Group in
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of this project. The candidate’s background can be either in in traditional music analysis (with a PhD in musicology, music analysis or music theory) and/or in computational musicology, digital humanities
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recovered, transcribed, and edited within the scope of this project. The candidate’s background can be either in in traditional music analysis (with a PhD in musicology, music analysis or music theory) and/or
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collaboration with Dr Whelan and the PhD students, machine learning tools for the handling of the Mauve and MUSE datasets. They will also be expected to lead the research into innovative ways in which the machine
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. The successful candidate will have the responsibility of developing, in collaboration with Dr Whelan and the PhD students, machine learning tools for the handling of the Mauve and MUSE datasets. They will also be
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sense the change in pressure, causing a reflex activation of the pharyngeal muscles to stabilise the pharyngeal wall. While this reflex has been extensively studied in animal and human models
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, causing a reflex activation of the pharyngeal muscles to stabilise the pharyngeal wall. While this reflex has been extensively studied in animal and human models, there remain important questions about its
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animal and human models, there remain important questions about its mechanism and significance in humans. The purpose of this research programme is to better characterise and understand the reflex
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collection, rigorous analysis, and evidence-based assessment of energy savings, user behaviour, and system performance. Working closely with the Lead Technology Manager and the rest of the technical team
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from a research perspective, ensuring high-quality data collection, rigorous analysis, and evidence-based assessment of energy savings, user behaviour, and system performance. Working closely with