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A fully funded 3.5 years PhD position in developing software and computational tools for sustainable supramolecular materials design is available in the group of Assistant Professor Andrew Tarzia
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into areas such as AI-driven verification, predictive maintenance, and compliance assurance, aiming to enhance system reliability and safety. Situated within the esteemed IVHM Centre and supported by
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-verification, and in-country assessments of the nature, extent and likelihood of threats to these heritage sites. MAEASaM is a partnership programme, with the University of Cambridge serving as the lead and
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://doi.org/10.1021/acssuschemeng.4c01820 ). The PhD candidate will then push the boundaries by developing and optimising the technique further, integrating with advanced instrumentation and custom software
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
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developed a unique methodology and software to simulate and analyse the performance of gas turbine engines in the past half century. The research in this area at Cranfield will be a good starting point for
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services research and epidemiology, along with practical skills in managing large, complex datasets. Proficiency in statistical software, especially STATA, is essential. You must be able to handle multiple
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research findings in leading journals. Disseminate results widely, including at appropriate national/international conferences, and by making results and software available to applied practitioners
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Fixed-term: The funds for this post are available for 12 months A position is available for a Postdoctoral Research Associate (Postdoc) in the forthcoming Aspirational Computing Lab in