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using a variety of advanced methods with the support of project supervisors. The postholder will have completed a PhD in a relevant discipline and have expertise in quantitative research methods
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assessments (LCA) to quantify the environmental impacts of proposed processes and compare them with conventional alternatives. Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS
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, and spinout activities, including technical planning and delivery. • Lead the development of hardware-software integration workflows for monitoring, diagnostics, and control of battery systems
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excellent knowledge of advanced statistical methods and experience in analysing large-scale datasets, as well as solid practical experience in the use of STATA, R or a similar software package, and good
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nine universities and three survey organisations, in partnership with the National Centre for Research Methods (NCRM) and the Office for National Statistics (ONS). Its objective is to deliver a step
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years of completing their PhD, although career breaks for parental leave and/or health reasons will be considered. This is because the roles are aimed at early career academics who would benefit from a
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-authoring publications where appropriate. To succeed you should have: A post-graduate degree, or be working towards a PhD, in political science, social policy or a closely related discipline. Previous
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the environmental impacts of proposed processes and compare them with conventional alternatives. • Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS, SimaPro, or equivalent
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Supervise students on research-related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake
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of promoting research excellence in Data Science methods and AI models while ensuring their principled and competent adoption across disciplines. Our approach is anchored in fostering an interdisciplinary and