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technologies, drug discovery and advanced therapeutics. We have excellent facilities to support our parallel use of pre-clinical cell and in vivo models, alongside human cellular models, which provide
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therefore a continued knowledge gap - whether bone and muscle sarcoma metastases evolve through linear Darwinian evolution, parallel progression, reversible/plastic mechanisms and/or whether a metastatic
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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at St Thomas’ Hospital campus. Staff and PhD students focus on the science and engineering of medical imaging and aims to improve outcomes for patients with cancer, brain and heart conditions. About the
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Your Job: This PhD project will be part of the Green ERA-Hub project AGROSOIL-Agrogeophysics for Sustainable Soil Management under climate extremes. With project partners in Ireland and Uruguay
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of £20,780 pa. for 2025-2026. This exciting 4-year PhD project investigates the feasibility of Zinc undercoatings as a permeation barrier for pipelines in hydrogen service environment. The effect of hydrogen
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to translate biological processes into computational models. Contribute to algorithm development for large-scale simulations, especially parallelization. Create software solutions (such as games or demos
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’ Hospital campus. Staff and PhD students focus on the science and engineering of medical imaging and aims to improve outcomes for patients with cancer, brain and heart conditions. About the role The PE
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in a dynamic and collaborative team. In collaboration with the Edinburgh Parallel Computing Centre (EPCC) and our industry partners, the focus of the role is the development of a new solver for
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of aerospace and aeronautics, covering the entire spectrum of fidelity levels. The candidate should have or be close to completing a PhD in aerospace engineering (or equivalent qualification and experience