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), and techno-economic analysis (TEA) of tubular solid oxide electrolysis cells and stacks. You will work in collaboration with other partners on the development of advanced materials and modelling
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coupled heat/mass transfer and guide component-to-system integration. Your insights will directly inform the integrated design and techno-economic assessment, supporting downstream prototyping and field
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, commissioning, and performance analysis, ensuring research outputs align with project milestones and Innovate UK requirements. Applicants must hold a PhD in Mechanical Engineering, Energy Systems, Thermal
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, instrumentation, and field deployment activities in collaboration with UK and Ukrainian partners. The role also involves data analysis, performance assessment, and the preparation of technical reports, journal
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data entry onto paper and electronic clinical research forms. A key component of the role will be to ensure compliance with regulatory requirements for clinical studies and act as a point of contact with
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, Applied Machine Learning, Neural Networks and Deep Learning as well as Machine Learning for AI and Data Science and Bayesian Theory and Data Analysis. We are looking for an associate able collectively
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, Applied Machine Learning, Neural Networks and Deep Learning as well as Machine Learning for AI and Data Science and Bayesian Theory and Data Analysis. We are looking for an associate able collectively
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analysis. Evidence of experience in research leadership, the support of grant submission, external collaboration, and effective project management is also required. What we offer: Aston University is a
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support data analysis, interpretation and dissemination of findings (co-authoring publications, attendance at conferences and stakeholder workshops) Conduct observations and behavioural assessments, and
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the doctoral ecosystem, including the analysis and reporting of data. You will also help transform these insights into engaging multimedia resources for stakeholder groups, and contribute to the design