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Applications are invited for a fully funded fixed-term at the Research Assistant / Associate (PostDoc) level in high performance computing for computational fluid dynamics applications. High
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on advanced material coating strategies. The project addresses the growing need to improve the surface properties and stability of LFP materials, especially under high-performance applications
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related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You
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conduct innovative research on applied artificial intelligence computing. Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers. Participate in
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dedicated high-performance computing implementations. Technology transfer to magnetic resonance imaging in medicine is a secondary target. Key Duties and Responsibilities The postholder will develop new image
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performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in battery fire combustion and spread. Strong skills in turbulence
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interpersonal and communication skills across wet-lab, computational and facility teams Familiarity with high performance computing environments and reproducible workflows Experience providing support for spatial
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Solutions, you will apply your methods in detailed simulation studies using Imperial’s high-performance computing facilities, assessing performance in realistic scenarios. You will regularly present your
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include high-performance computing, middleware and computing systems. Recent relevant research experience to include: Undertaking research in the area of high-performance / distributed / parallel computing
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calculations. Conduct Accurate Calculations: Perform accurate wavefunction calculations on high-performance computer clusters to generate ab initio reference benchmarks. Collaborate and Publish: Work closely