56 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" PhD positions at Newcastle University
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bone cells toward regeneration. These will be characterised using AFM and rheology, followed by immune–osteogenic co-culture studies to evaluate mechanotransductive signalling. The resulting data will
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-based modelling with data driven surrogate approaches. The first stage of the project will involve the development of a multi-layer hydrodynamic model capable of representing key three-dimensional flow
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Supervisors Dr Haoyu Huang , Lecturer in Structural Engineering, School of Engineering, Newcastle University Prof Sean Wilkinson , Professor in Structural Engineering, School of Engineering, Newcastle
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are the social, environmental, and economic costs of those responses? The project will involve collecting and analysing transport-related data from a variety of sources. By combining sensor and camera observations
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simulation experience; collaboration with leading researchers; and training in advanced characterisation, data analysis, and data interpretation. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4
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programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory field) - upload a document or write a statement
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behaviour and system efficiency. Uncertainty is inherent in the design of subsurface energy technologies, particularly during early-stage development when data may be sparse, incomplete, or inaccessible
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Systems: Here, you would combine advanced microcontrollers, power and data transmission systems to create a subcutaneous control unit for bionic vision. Bionic Vision Biophysics: Here, you will explore
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to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory field) - upload a document or write a statement directly in to the application form
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an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT) sensor data. This will be a small system-on-chip designed