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PhD: Digital Optimisation of Rail Grinding EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering for Manufacturing PhD Research Project Directly Funded UK Students Dr
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techniques for modelling and monitoring the infusion and curing process and this PhD will bring these elements together to form a digital twin of the process. This digital twin will be used to predict
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PhD Studentship - Process Industries: Net Zero - Optimisation bio-methanol production from high-moisture feedstock Award Summary 100% fees (UK Home only), a minimum tax-free annual living allowance
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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of wind tunnel components in elite motorsport. This interdisciplinary project will develop a data-driven approach to understand and predict how process settings, build orientation, machine variability, and
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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. Overview This PhD project is part of the EPSRC Centre for Doctoral Training in Process Industries: Net Zero (PINZ) . The PINZ CDT will train the next generation of process and chemical engineers, and
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to revolutionize early intervention by leveraging digital phenotypes (DPs) - unbiased, continuous data streams from daily smartphone use, social media, and music listening. Despite the promise of DPs in predicting
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engineers, concentrating activity and nutrient deposition around nests in ways that alter microclimate and plant communities. Processes such as ‘landscapes of fear’ affect where birds nest. This could
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The ESRC Centre for Digital Futures at Work (Digit) aims to advance our understanding of how digital technologies are reshaping work. The project will examine the barriers to and opportunities