55 quantum-physics-"https:"-"https:"-"https:"-"CEA-Saclay" PhD positions at University of Nottingham
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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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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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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
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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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develop a digital twin of the PFA cure process, combining mechanistic modelling with neural‑network‑based prediction of complex behaviours such as void formation and brittleness. In parallel, you will
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/physics or any related discipline. This is a largely experimental research project based at the University of Nottingham, with some aspects of material modelling and development of machine learning to aid
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sustainable chemical and biocatalytic process development. Vision We are seeking a motivated PhD student to develop a strong experimental understanding of enzyme selectivity when processing mixed biomass