51 computer-security "https:" "https:" "https:" "https:" "https:" "Dr" "Dr" "Robert Gordon University" PhD positions at The University of Manchester
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before the deadline. Computational haemodynamic modelling provides a powerful framework for linking blood flow dynamics with cardiovascular disease, using in silico approaches to systematically study flow
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of Biotechnology. Collaborators on the project will include Dr Bhavin Siritanaratkul (University of Liverpool) for electrode redesign and fabrication, and Dr Richard Obexer (University of Manchester) for directed
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that you apply early as the advert may be removed before the deadline. This PhD project aims to develop a virtual tabletting laboratory by creating computational models that capture the multiscale mechanics
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-driven model selection, and deep learning for data analysis and feature extraction from characterisation data. Surrogate modelling will be employed to reduce computational costs, and AI-based uncertainty
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instruments, large-scale datasets, and an international research community. Training on neutron scattering techniques will be provided. The project is ideal for students who are interested in computational
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infrastructure. The successful candidate will benefit from access to extensive expertise across The University of Manchester in civil engineering, structural engineering, fire engineering, computational modelling
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synthesis of new materials. For the robotic additive manufacturing, the lab has a house-developed Laser-Kuka cell with 16kW IPG laser and wire/powder feeding systems. The lead supervisor, Dr Yuze Huang
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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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under the supervision of Dr Mehrdad Vasheghani Farahani from Department of Chemical Engineering, with co-supervision by Professor Ian Kinloch from Department of Materials. The successful candidate will
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the main supervisor, Dr Samuel Draycott – samuel.draycott@manchester.ac.uk for this project before you apply. Please include details of your current level of study, academic background and any relevant