51 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" scholarships at The University of Manchester
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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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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
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knowledge for sustainable formulation design. Using different data-driven feature representations, AI foundation models will generate chemical embeddings to predict key physicochemical properties. Coupled
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reusable plaque–flow atlas. Key objectives include to: Develop automated computer aided design (CAD) and meshing pipelines to generate a library of arterial geometries representing common geometric
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supervised by Dr Ed Pickering and Prof Tim Burnett. Please contact ed.pickering@manchester.ac.uk if you wish to apply. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s