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supervision of Professor Michail Stamatakis in the Department of Chemistry at the University of Oxford. The industrial partner for this project is IBM UK Ltd. The studentship will cover your course fees rate
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– 4: You will move to your host institute (University of Manchester, University of Glasgow, or University of Oxford) to undertake your PhD research. About this Project Project Title: Smart Robotic
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well as external institutions and organisations, such as the University of Oxford and other industrial partners. For further information about the project or any informal enquiries, please contact: Dr. Tianning Tang
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will transition directly onto the PhD. Years 2 – 4: You will move to your host institute (University of Manchester, University of Glasgow, or University of Oxford) to undertake your PhD research, which
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activities in the UK Hypersonics Doctoral Network, led by the University of Oxford and Imperial College London. Each Cohort will have at least 8 students studying across a number of UK Universities. Duration
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hold, or be close to completion of a DPhil/PhD in wearable sensors or a closely related field and possess sufficient specialist knowledge in the discipline to work within established research programmes
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at the University of Oxford. Our research focuses on developing cell replacement therapies for type 1 diabetes (T1D) using stem cell-derived beta cells (SC-islets). In this project, the student will analyze genomics
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4-year D.Phil. studentship Supervisors: Dr Simone Falco, Prof Daniel Eakins The ability to simulate initiation and detonation effects within energetic materials is a significant capability gap within the energetics field. Whilst many reactive burn models have been developed to simulate this...
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4-year D.Phil. studentship Supervisors: Dr Simone Falco, Prof Daniel Eakins Classic finite elements approach (FEA) approximate the shape of the model using elements with planar faces, therefore representing curved surfaces with piecewise linear approximations. The error introduced by using FE is...
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integrated with the NiMARE (NMA) software project. To be considered you will hold a relevant PhD/Dphil in statistics, machine learning or similar area, together with relevant experience working with brain