570 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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Robotic-assisted surgery is rapidly expanding in the UK, with over 100,000 procedures performed in 2024 alone. Emerging 5G and future 6G networks are making remote surgery increasingly feasible
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Supervisors: Professor Victoria Cornelius, Dr Hadith Rastad, Dr Tim Rawson About the role Sequential Multiple Assignment Randomised Trials (SMARTs) are increasingly used to evaluate multistage
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fields such as data science, computer science, and mathematics, that work together to develop innovative methods and tools to analyze large-scale data sets and gain insights into the underlying principles
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practice and community responses. The PhD student will be supervised by the project’s principal investigator, Professor Yafa Shanneik. Requirements A Master’s degree in Social Policy, Political Science, Law
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Infrastructure & Resilience (WIRe)' as the programme of study You will then need to provide the following information in the ‘Further Questions’ section: · a ‘Personal Statement’ (this is a mandatory field
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code:8209F · select ‘PhD Water Infrastructure & Resilience (WIRe)' as the programme of study You will then need to provide the following information in the ‘Further Questions’ section: · a ‘Personal
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status rate at the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield under the supervision of Professor Pierre Ricco (www.pierre-ricco.co.uk ). Additionally, the student
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systems across a wide range of applications, including e-mobility, automotive, aerospace, rail, marine and stationary storage. For further details please refer to the Group webpage or contact Professor
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designing research approach and drawing on a wide range of social science methods. Key commercial sectors include (but are not limited to) data centres and high-tech industries, as well as food and beverage
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for translational biocatalysis, addressing critical needs in the development of sustainable biotechnologies. The programme will equip PhD students with advanced expertise in enzyme science, machine learning, enzyme