633 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Sheffield
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ACCE+ DLA Programme: Assessing the role of upland fires in air pollution and public health in the UK
ACCE+ DLA Programme: Assessing the role of upland fires in air pollution and public health in the UK School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr M Val Martin
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ACCE+ DLA Programme: Changing contributions of gardens for wildlife and ecosystem services- causes, consequences and solutions School of Biosciences PhD Research Project Competition Funded Students
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ACCE+ DLA Programme: Quantifying water storage beneath the Greenland Ice Sheet and its influence on ice dynamics and runoff School of Geography and Planning PhD Research Project Competition Funded
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ACCE+ DLA Programme: Detecting rapid evolutionary responses to climate change in UK plants School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr Luke Dunning, Prof C P
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ACCE+ DLA Programme: The impact of climate change on sexually selected traits and its consequences for evolutionary fitness School of Biosciences PhD Research Project Competition Funded Students
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ACCE+ DLA Programme: Engineering underground ecosystems for sustainable legume production School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr Ellie Harrison, Prof
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BBSRC Yorkshire Bioscience DLA Programme: The role of long non-coding RNAs in guard cell function and development School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr
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Computational Circular Design: AI-assisted optimisation for disassembly (C3.5-AMR-Casamayor) Advanced Manufacturing Research Centre PhD Research Project Competition Funded Students Worldwide Dr Jose
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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monolayers and in vivo in the developing zebrafish fin. You will use computational methods to reconstruct keratin networks and quantify their alignment and organisation. You will use cell and molecular biology