25 parallel-and-distributed-computing positions at University of Warwick in United Kingdom
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materials engineering lies the future of computing and energy harvesting. We are seeking an ambitious researcher to push the limits of the atomic scale, transforming theoretical insights into the building
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Research area and project description: AI data centres are digital engines, yet ~30% of energy is wasted as heat in power conversion and distribution. Directly addressing the UK’s Clean Power 2030
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Energy’s Natural Hazards R&D Team, this project will utilise and develop state-of-the-art space simulations to probe past, present and future events to constrain extreme value distributions spanning hundreds
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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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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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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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. The residual elements inherited from steel scrap such as Cu, Cr, Ni, Zn, Sn, and Pb, along with alloying elements from the OBMs like V and Mn (which depends on the iron ore sources) will be distributed between
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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
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Electronics, will use computational simulations to study how thin films form during flowable chemical vapor deposition (FCVD), a process used to build advanced semiconductor devices. Unlike traditional CVD