349 computer-programmer-"https:"-"Prof"-"https:"-"https:"-"https:"-"https:"-"BioData" PhD positions in United Kingdom
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We invite applications for an exciting, fully funded PhD studentship at the interface of textile engineering, electronics, and wearable health technologies. This collaborative project between Heriot-Watt University and the University of Edinburgh aims to develop a new generation of biosensing...
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Project link: Applications of Liquid Crystals in Augmented Reality and Virtual Reality technologies | Project Opportunities | PhD | University of Leeds Number of Positions: 1 Eligibility: UK Only Funding: School of Physics & Astronomy Scholarship, in collaboration with Merck, providing the award...
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Project advert Do you want to digitally transform higher education (HE) learning experiences? This novel project aims to combine Artificial Intelligence (AI) and Extended Reality (XR) to create a transformative educational tool. XR technologies enable immersive, interactive, and collaborative...
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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are invited for a fully-funded Industrial Doctoral Landscape Award, offered in partnership with Rolls-Royce, to tackle key challenges in the design of aeroengine oil systems using multiphase Computational Fluid
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), Cecilia Heyes (Oxford) and Phil Corlett (Yale). In this PhD studentship, you will lead on experimental and computational work looking at how social interaction biases feelings of confidence, and how
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alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
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materials for low-emission ammonia conversion. Perform both experimental investigations and computational simulations of the combustion process. The outcome of this project will demonstrate the feasibility
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and modelling techniques. Real-World Impact: Contribute to transformative technologies in clean energy and carbon capture. Future job opportunities: Digital modelling and computational fluid dynamics