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of DNA in each of our cells, which needs to be divided once every cell cycle. To ensure faithful division of our genome, cells have enzymes that spool up DNA into chromosomes (SMC complexes) and enzymes
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services for our customers. This role will be critical to the delivery of this new and innovative approach. IT Services at the University of Sheffield provide a full range of complex IT and technology
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two building blocks: high-fidelity Computational Fluid Dynamics (CFD) simulations of boiling flows within complex geometry using opensource software and cutting-edge adaptive mesh refinement techniques
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modelling framework to predict key thermal hydraulic parameters for boiling flows within complex geometries at high heat flux conditions, relevant to the engineering design of thermal management elements
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are made locally rather than from a single central point. In theory, a single “all-knowing” controller that sees everything can make the best possible decisions. But in practice, big networks are too complex
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network. When applying SHM, the majority of successful applications rely on data-driven approaches and are moving toward ever more complex machine learning and AI methods. When the upkeep of critical
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virtually limitless, low-carbon power source. With recent experimental milestones—most notably net energy gain in inertial confinement experiments—and significant public (UKAEA, UKIFS) and private-sector
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-surface flows, non-linear deformations and fragmentation of the free surface, to model flowing liquid metal PFCs. Indeed, the Lagrangian and mesh-free characteristics of SPH have dominated the field of free
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engineering challenges in areas including climate resilience, ageing infrastructure, and net-zero transitions. The laboratory comprises a 4-metre diameter beam centrifuge, a 1-metre diameter model centrifuge
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of diverse mycorrhizal fungi and the networks they form. You will be an essential member of a multidisciplinary team of scientists from the University of Sheffield, Dr Silvia Pressel at the Natural History