708 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Sheffield in United Kingdom
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for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self or externally funded students only. References https://www.sheffield.ac.uk/biosciences/research
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contributing to a Motor Neuron Disease Association (MNDA)–funded project focused on improving the assessment and management of pain in people living with motor neuron disease (MND). This innovative programme is
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. it will be possible to make Scholarship applications from the Autumn with a strict deadline in late January 2020. Specific information is avaialable at: http://www.sheffield.ac.uk/acse/research-degrees
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of Sheffield Financial contacts and Head of Service Plan and prepare documentation to meet key financial deadlines; financial year end and submission of financial claims for DSA to UKRI Collaborate with
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Orbiter, alongside state-of-the-art high-performance computing (HPC) simulations to track how swirling plasma motions reorganise magnetic fields and drive energy through the solar atmosphere. These vortical
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, Statistics, Data Science etc. Essential Application & Interview A PhD (or equivalent research work experience) in a quantitative discipline related to the research programme e.g. health economics
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behaviour, improve your communication abilities and experience the breadth of technologies that are used in academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more
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et al. Scientific reports. 2021. https://doi.org/10.1038/s41598-021-99065-7. 2. Taylor DJ et al. Computers in Biology and Medicine. 2024. https://doi.org/10.1016/j.compbiomed.2024.108299 View
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of 6.5 or above with at least 6.0 in each component, or equivalent. Please see this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language. How to apply Please
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Deadline: Applications accepted all year round Details The aim of this PhD programme is to develop efficient numerical strategies for the prediction and assessment of fracture. Our group has got success in