42 postdoc-in-system-identification PhD positions at University of Nottingham in United Kingdom
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A Design Methodology for Embedding Robotics & Automation into Circular Product Development This is an exciting opportunity to undertake industrially linked research in partnership with
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training. The goal is to build realistic, culturally sensitive digital avatars that simulate dementia‐care scenarios in care homes. Through co-design with carers, care-home staff, families and community
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lab is challenging the traditional view of soil-structure interaction (SSI). This project will investigate the critical role of changing particle shape on material wear and elevated stress transfer
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. Supervisors: Ian Sayers, Cathy Merry (Nottingham), Gleb Yakubov (Leeds), David Thornton (Manchester), Luke Bonser (AstraZeneca) Chronic sputum production is debilitating and a feature shared by several
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Join a fully funded, industry-sponsored PhD at the University of Nottingham (Mechanical & Aerospace Systems research group), in partnership with the Manufacturing Technology Centre (MTC). You will
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Join a fully funded, industry-sponsored PhD at the University of Nottingham (Mechanical & Aerospace Systems research group), in partnership with the Manufacturing Technology Centre (MTC). You will
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to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional
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encapsulate and embed these molecules into well-defined, injectable microparticles. This is one example of next-generation therapeutics, with a sustained and controlled drug release over a prolonged period
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We invite applications for a PhD project focused on fundamental research into novel low-emission ammonia combustion/oxidation processes. This position is based within the Faculty of Engineering at
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(CHF), tailored to complex geometries typical of fusion reactor cooling systems. Compile a comprehensive dataset of boiling parameters to support machine learning-based analysis of two-phase flow