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Field
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Monte Carlo methods for glassy dynamics and complex materials Supervisor: Dr Michael Faulkner, University of Warwick Glasses are materials that combine macroscopic solid behaviour with amorphous liquid
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hard to model with classical computers, it presents a valuable opportunity – to use quantum technologies to efficiently model and simulate other complex systems. Recent focus has been on how we can more
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explore the phase behaviour of potassium and unlock new understanding of alkali metals' unique physical properties. At high pressures and temperatures, these metals reveal complex phase transitions and
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-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution Supervisor: Prof. Scott Habershon, University of Warwick Protein folding is a dynamic, complex process by which proteins
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for fusion components. This framework foresees two building blocks: high-fidelity Computational Fluid Dynamics (CFD) simulations of boiling flows within complex geometry using opensource software and cutting
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Testing (NDT) – a crucial technique used in industries to assess materials, components, and structures without causing damage. This PhD project focuses on advancing Ultrasound Testing and X-ray Computed
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September 2026 entry. Quantum computing provides unprecedented means to overcome bottlenecks of complex problems. The greatest impediment to realising the potential of quantum computing is the lack of people
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capabilities in reasoning, planning, and generalisation, acquired through extensive pre-training, provide the foundation for a true cognitive engine capable of managing network complexity holistically
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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more
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advanced nanoengineering techniques, the project seeks to achieve a DA biosensor with superior sensitivity, selectivity, and stability, optimised for use in complex biological environments. Background