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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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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
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qualifications: Experience in running large-scale analyses on Linux-based HPC clusters using job schedulers (e.g., Slurm) and/or on cloud research platforms (e.g., DNAnexus/AWS). Experience in analysing high
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of work: low-resolution algorithms, model optimisation with HPC techniques, edge computing, quantum computing, energy-efficient compact data structures, NLP optimisation. Justification of duration A