62 quantum-physics-"https:"-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" PhD positions at University of Nottingham in United Kingdom
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of calculations on a hardware architecture that matches the inherent nature of quantum chemistry electronic structure calculations and with it the opportunity to capture some of the inherent physics, albeit with
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of calculations on a hardware architecture that matches the inherent nature of quantum chemistry electronic structure calculations and with it the opportunity to capture some of the inherent physics, albeit with
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theme of this PhD programme is to examine the interaction between health and modifiable risk factors, particularly physical activity and diet. Many health conditions are linked to modifiable risk factors
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individual atomic sites. Topological defects are central to modern condensed-matter physics, underpinning phenomena ranging from superconductivity to superfluidity, yet they are rarely accessible as individual
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PhD offers an exciting opportunity to explore reservoir computing, a new approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and
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regeneration, resulting in significant energy penalties and limited operational flexibility. This project proposes a novel biomass-based negative emissions process that leverages the reversible CaO/CaCO
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recognised as a critical pathway for net-negative emissions but current systems are energy-intensive and inflexible. This project proposes a novel biomass-based negative emissions process using the reversible
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), produce a flue gas with a high concentration of CO2 that allows easier sequestration without energy-intensive preprocessing. However, production of oxygen is an energy-intensive process. Industrial scale
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engineering, structural, aerodynamic & manufacturing process modelling and optimisation techniques that will transform current design & development practices. Together we will make technological advances
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characterisation and AI‑assisted modelling. Working within the Composites Research Group, you will develop a digital twin of the PFA cure process, combining mechanistic modelling with neural‑network‑based prediction