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Faculty of Computing, Mathematics, Engineering & Natural Sciences Funded PhD Project (UK or International Students) Funding provider: Northeastern University London (NU London) Subject areas
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of Humanities Faculty of Science & Engineering Science courses Engineering courses Western Australian School of Mines (WASM) Course type Undergraduate Postgraduate coursework Specifically for Aboriginal/Torres
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of sedentary individuals and patients in comparison with active individuals. About you The applicant should have good IT and programming skills. An engineering background such as biomedical engineering (MSc
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machine learning to CFD-generated datasets. The ideal applicant is a fresh graduate in engineering or in a closely related discipline, with a track record of achievements at the top of their cohorts
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to gain) a first-class honours MEng or higher degree or equivalent in Aeronautics, Mechanical Engineering, or related areas. Imperial College is consistently ranked as one of top universities in the world
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and Technology at City, University of London has partnered with Cosmo Intelligent Medical Devices (world-leading company in the design of AI-based medical devices for endoscopy) to offer a Doctoral
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(or international equivalent) in Electrical and Mechanical Engineering or related disciplines. A Master’s thesis or equivalent in Electrical Machines and industrial experience would be desirable. We are seeking
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at Imperial College London. You will have a 1st or 2:1 class honours degree in mechanical engineering, physics, mathematics, or a related subject, and an enquiring and rigorous approach to research together
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when the project commences. Applications are invited from candidates with (or who are expected to gain) a first-class honours degree or equivalent in a suitable field such as engineering, computer
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of an equivalent standard, in a relevant subject such as, but not limited to (project management, construction management, engineering management, operations management, organization studies, strategy