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way to overcome the limit of theoretical methods and measurement technologies to acquire the needed fine-scale data to investigate the fundamental physics. The project will build on the Mathematical
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community committed to excellent research with impact. This project forms an exciting research opportunity to join Manchester Met’s AI, Digital and Cyber-Physical Systems theme for improving life quality
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-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline (physics, mathematics, computer science, AI, data science or statistics). Strong candidates with sports science
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funded PhD are to first quantify expertise in VAR decision-making and highlight constraints that undermine this process (such as time, technology, and psychological stress). We then aim to test training
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experience in cyber security/risk management and knowledge of cyber-physical systems are highly desirable. In-depth knowledge of regulatory frameworks and standards in cyber security, such as NIST standards
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uses for existing approved drugs to inhibit the ageing process in mammals. The current project is to use a combination of molecular techniques, in vitro culture systems and studies in rodents to build
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. However, modelling applications involving complex WSI accurately and efficiently, especially those associated with extreme marine conditions, is particularly challenging because these are multi-physics
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sport science testing (e.g., physical, psychological assessments etc) Competent with programming / coding software (i.e., R / python etc) How to apply Interested applicants should contact Dr Matthew
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a strong background in Computer Science, Engineering, Maths or Physics, and preference would be given to those with a good understanding of computer vision and deep learning. It is essential to have a