54 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at The University of Manchester
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its frontier by integrating mechanistic artificial intelligence with robotic additive manufacturing systems to enable intelligent metal processing. The research will develop physics-informed and data
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performance. This PhD project aims to develop a data-driven framework for graphene aerogel design by integrating structured experimental Design of Experiments (DoE) with machine learning (ML). The student will
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2026 or as soon as possible thereafter. Supervisor: Dr Floriana Tuna Co-supervisors: Dr Yujie Ma, Prof Sihai Yang Summary of Project: MOFs are crystalline porous materials made of metal clusters and
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FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property-structural relationships
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in the groups of Dr Florence Hardy and Prof Anthony Green, University of Manchester, as part of the cross-institutional BioAID Doctoral Training Programme, including world-leading experts from Queen's
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to national priorities on sustainable agriculture and Net Zero targets. Furthermore, this project will enable the student to acquire skills in data analysis and visualisation, experimental planning, working
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Sciences, Materials Science, chemistry, physics or a related physical science discipline to join our research group. Some knowledge or previous experience in petrology, materials processing, coding or data
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they can reliably, affordably, and fairly support a net-zero energy system. The research will focus on how data-driven and machine-learning-based control can coordinate demand, storage, and local generation
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facilities. The project will be supervised by Professor Chris Hardacre and Dr Marta Falkowska, with expertise spanning heterogeneous catalysis, reaction engineering, and neutron-based characterisation. Full
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the supervisor, Dr Thomas Anthopoulos (thomas.anthopoulos@manchester.ac.uk ), before you apply. Please include details of your current level of study, academic background and any relevant experience and include a