521 high-performance-computing-postdoc positions at University of Sheffield in United Kingdom
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-breathing lung MRI. Image computing support for pulmonary MRI applications. Support the development of a prototype neonatal pod for lung MRI, in collaboration with industrial partner, Contribute
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technology that not only enhances signal coverage but also revolutionizes the way we control antennas, reducing system complexity, and paving the way for high-speed, efficient mobile communications. Project
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: Applications accepted all year round Details Ventilation systems in underground stations and tunnels consumes significant amount of energy. A large number of stations still suffer from very high temperatures
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Overview This post is funded by the Quantum Computing Hub (QCI3) supported by the Engineering and Physical Sciences Research Council (EPSRC). The QCi3 Hub is part of Phase III of the UK’s Quantum
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stressors like pollution, drought, and heat influence soil health, crop productivity, and resilience to common UH pests. You'll investigate the following key questions: How do common UH practices impact urban
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of solvents. These solvents cause a number of challenges and problems, including issues with solvent toxicity, high energy usage which increases the carbon cost of batteries, and electrode structural problems
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ideas for improving your performance. Coordinate team teaching, which will include liaison with other academic staff and/or postgraduate assistants, to ensure that courses are delivered and assessed
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. The successful applicant will use a variety of imaging and computational image analysis techniques to generate a 3D morphometric atlas of post-embryonic stages of otic development in the wild-type zebrafish, with
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Computational Fluid Dynamics modelling of free surface flows over packing materials in a CO2 absorber School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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environment. Working in a multi-university team and utilising our world leading experimental facilities, you will help develop the monitoring system, evaluate and improve its performance and lead the