25 computer "https:" "https:" "https:" "https:" "I.E" "UCL" positions at University of Warwick
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is available for both UK and international students within the Quantum Device Modelling Group (http://warwick.ac.uk/nanolab ) at the University of Warwick. At the intersection of quantum physics and
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to the development of compact, high‑performance imaging systems (i.e. for security and medical applications). Key Research Activities Fabrication and Characterisation of Silicon Pillars: Modelling and Simulation: THz
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their skills and interests in this research area to https://warwick.ac.uk/fac/sci/eng/postgraduate/funding/ot_epsrc/app/ via the above 'Apply' button. If this initial application is successful, we will invite
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not essential How to apply: Interested candidates should submit an expression of interest by sending a CV and supporting statement outlining their skills and interests in this research area to https
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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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Fully funded 4-year PhD studentship in Computational Chemistry Supervisor: Dr Zsuzsanna Koczor-Benda, UKRI Future Leaders Fellow (FLF) We are looking for a highly motivated and talented PhD
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supporting the transition towards new methods of modelling and simulating battery failure, i.e.: gas venting, fire and explosion. The PhD is sponsored by BP and will take place within the Battery Systems team
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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 fields ranging from materials science
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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