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Technological advancements have transformed the landscape of Para sports, offering new possibilities to enhance performance through wheelchair and prosthesis design. This PhD project will
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The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from Home students for fully-funded PhD studentships to carry out multidisciplinary research in the world-transforming
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requirements: First-class or upper second-class degree (or equivalent) in Chemical/Process/Electrochemical/Mechanical/Electrical Engineering, Chemistry, or Physics, or relevant industrial experience
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general enquiries on the scholarships, please email: Research Programme Leader, Dr Irma Malafronte, at irma.malafronte@roehampton.ac.uk For administrative support regarding the application process, please
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engineering related discipline. The project is suitable for Engineering or Physics graduates, with a strong background in Fluid Mechanics, Heat Transfer and preferably with experience in computational modelling
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will be complimented with a comprehensive cohort training and employability development programme. About this Project Year 1 MSc Course: MSc Robotics Year 2 – 4 PhD Location: University of Manchester
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chemistry, physics, materials science, computer science or other related discipline. This 42-month studentship comes with a budget for training, conference attendance as well as for travel between Birmingham
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in the design and development of cryptographic protocols for real-world applications. The Computer Science Research Centre within the Faculty of Engineering and Physical Sciences has an international
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Computational Chemistry methods to model enzymes and polymers. Designing and optimising novel biodegradable polymers. Integrating novel AI tools into the discovery process for new polymer candidates. Project
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impurities such as nitrogen, oxygen, carbon dioxide, methane and other gases. During this 3-year PhD, we will design and characterise mitigation strategies to prevent performance losses due to these impurities