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and debugging, as well as software engineering best practices. You will have access to cutting-edge computational resources, including the latest Imperial College HPC clusters, and UK National
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partners. Training & environment You’ll gain deep skills in hypersonic flows, AI for PDEs, data assimilation, and reproducible HPC workflows (Python/C++/PyTorch/JAX). You’ll be supported with paper writing
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with high-performance computing (HPC), parallel computational fluid dynamic simulations can currently resolve spatial and temporal scales of industrially-relevant turbulent flows within days/weeks
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, inclusive, interdisciplinary, and highly collaborative environment. Other qualifications Applicants might have prior experience: Computing in HPC environments Programming in Rust Analyzing single-cell data
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comparison with DFT- and MD/MC-based results provided by project collaborators as well as with experimental trends and relevant literature data. Perform high-performance computing (HPC) simulations to analyze
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from HPC and AI data centers but still require additional air-cooling support for other components, to ensure the efficiency of these systems. To overcome these limitations, the PhD project will
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associated numerical methods and AI, will be used with High Performance Computing (HPC) to improve understanding of key flow physics and inform future HPT design. Skills and Experience Required: Applicants
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supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint
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Engineering Master Degree in Earth Sciences Experience in programming and high-performance computing (HPC). Experience in finite element numerical modelling and stabilisation techniques. Experience in
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for spatial and reconfigurable computing for HPC, post-Moore architectures, and sustainability in modern computing systems. The MCS group has a central role in organizing the national and international computer