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Resources: Benefit from state-of-the-art High-Performance Computing (HPC) facilities, unique multimodal datasets, and advanced wearable technologies. Global Collaboration: Extensive technical and
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for medical time-series. Cutting-Edge Resources: Benefit from state-of-the-art High-Performance Computing (HPC) facilities, unique multimodal datasets, and advanced wearable technologies. Global Collaboration
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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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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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, and highly collaborative environment. Other qualifications Applicants might have prior experience: Computing in HPC environments Programming in Rust Analyzing single-cell data, particularly scMetaG data
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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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, letters of recommendation, etc). What happens next? The assessment of potential candidates is made primarily based on academic results from bachelor degree and master degree studies. Short-listed applicants
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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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rapid and significant shifts in power consumption, next-generation high-performance computing (HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs