522 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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with the University of Sheffield requirements. For more details please contact Professor Kamran Mumtaz within the School of Mechanical, Aerospace and Civil Engineering at k.mumtaz@sheffield.ac.uk Funding
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. Candidates are expected to possess a degree in Software Engineering or Computer Science. Specifically, applicants must demonstrate experience in writing tools to address flaky tests and have encountered them
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Exciting Fully Funded PhD: Unlock the Future of Turbo Gas Seal Technology with John Crane Ltd! School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded UK
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Are you ready to push the boundaries of engineering innovation and accelerate the world’s transition to carbon-neutral energy systems? Join the Thermofluids Group in the School of Mechanical
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digital manufacturing). You will gain hands-on training across molecular biology, bioprocessing, materials chemistry, computational modelling, and cell biology. This interdisciplinary skillset will prepare
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to the interdisciplinary nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested in using your skills in addressing
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laterally acquired genes linked to seed oil production. The project blends computational biology, epigenomics, and plant functional genetics, offering training in cutting-edge approaches from genome analysis
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BBSRC Yorkshire Bioscience DLA Programme: The genetic and developmental control of complex nanostructure formation in butterfly wing scales School of Biosciences PhD Research Project Competition
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://www.pandhalresearchgroup.co.uk and https://sheffield.ac.uk/photosynthesis) and industry partner Deep Blue Biotech (https://deepbluebiotech.com), the student will gain training in molecular biology, microbial physiology
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Desired skills We are seeking a motivated and ambitious PhD candidate with a strong background in signal processing, biomedical/mechanical engineering, computer science, or equivalent. Experience in human