24 postdoc-computational-fluid-dynamics-"LIST" PhD positions at University of Warwick in United Kingdom
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About the project: Advanced Monte Carlo methods for glassy dynamics and complex materials Supervisor: Dr Michael Faulkner, University of Warwick Glasses are materials that combine macroscopic solid
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, machine learning, molecular dynamics, and fluid mechanics. We aim to understand how chemical structure of precursors and process conditions affect film quality, helping design better materials and
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material insights to optimise trade-offs for next-generation energy technologies. Project Detail: You will join a dynamic, interdisciplinary research team that will begin by characterising conventional
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-dynamic requirements of renewable energy integration and the soaring power demands of AI workloads. Solid-state transformers (SSTs), powered by wide-bandgap (WBG) semiconductors and high-frequency
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Centres Research area and project description: Artificial intelligence (AI)-based technologies are being adopted across various sectors at an unprecedented scale. However, the computing resources required
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PhD Studentship: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution
About the project: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution Supervisor: Prof. Scott Habershon, University of Warwick Protein folding is a dynamic, complex
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per year Eligibility: UK Citizen Start Date: 02/10/2026 (3-year funding period) Research Group – CiMAT Project Overview X-ray Computed Tomography (XCT) is a critical non-destructive imaging tool used in
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-ray Computed Tomography (XCT) has evolved into a significant "big data" challenge, with a single scanner easily generating over 10TB of data annually. The sheer volume of this structured data creates
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About the project: Supervisor: Professor Nicholas Hine, University of Warwick This project uses cutting-edge computational and machine learning methods to accelerate catalyst discovery for fuel cell
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that is still poorly understood. This project will develop advanced computational models to simulate a new imaging technique called electron ptychography, which can map magnetic fields in 3D at nanometre