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cell- and module level. Particular emphasis will be placed on leveraging modern heterogeneous computing architectures to enable large-scale, high-fidelity reacting-flow simulations. The models developed
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time-series data Experience of high-performance computing, GPU-based computing, or parallel programming Experience of probabilistic modelling or inverse problems Experience of developing and
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, and international collaborators. The work will involve large 3D datasets and reproducible computational workflows, including scripted quality control and, when appropriate, parallel processing on high
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-impact work Familiarity with Git and GitHub Competence using Linux-based high-performance parallel computing systems The assessment of applicants will primarily be based on their scientific merits and