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closely with their supervisors and will produce a PhD based on four papers of a publishable standard. PhD students also acquire teaching experience by providing teaching support in our undergraduate
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schools. PhD students are expected to collaborate closely with their supervisors and will produce a PhD based on four papers of a publishable standard. PhD students also acquire teaching experience by
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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 publication process. To acquire generic and transferable skills (including project management, business skills and postgraduate mentoring/supervision). To engage in the wider research and scholarly activities
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causal machine learning, transport behaviour analysis, and residential energy demand modelling to support sustainable urban and energy policy. The researcher will contribute to the design, implementation
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combining causal machine learning, transport behaviour analysis, and residential energy demand modelling to support sustainable urban and energy policy. The researcher will contribute to the design
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to the Viking past over time. The ideal candidate will either have a PhD in Old Norse Viking Studies and have engaged in their research with reception, and particularly with branding, marketing and
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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and
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sustainability and climate curriculums and educational resources. Candidate Profile • A PhD in environmental engineering, computer science, data science or similar • Highly motivated, detail orientated and
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. Applications are invited from candidates with a relevant PhD qualification and research experience on the social aspects of climate change and sustainability research and education. Achievement of the expected