312 computer-science-quantum "https:" "https:" "https:" "https:" "U.S" positions at University of London
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periodicals, the whole thereby forming an interdisciplinary tool serving all aspects of classical research. For further information, please refer to the Library’s website at: https://library.ics.sas.ac.uk
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to the design, nanofabrication and exploration of superconducting quantum devices. The post holder will work on the design, development, fabrication and implementation of superconducting quantum devices
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delighted to hear from you. To apply, please visit https://www.odgers.com/en-gb/opportunities/?r=0#AssignDetail.aspx?guid=94112 Applications are invited by close of business on Friday 9 January 2026
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detector. Our experimental and theory dark matter researchers also benefit from synergy with our Low Temperature facilities within the context of Quantum Technology for Fundamental Physics. Our Centre is
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nearing completion) in Bioinformatics, Computational Biology, Genomics, or a related field, and proven experience in analysing high-throughput sequencing data. They will be proficient in R and/or Python and
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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About the Role A Postdoctoral Research Associate position is available for 24 months within the School of Engineering and Materials Science at Queen Mary University of London to work on a Leverhulme
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Programme. The role ensures that approved demand is shaped, planned, delivered, and embedded effectively, acting as the primary interface between business stakeholders and AAA delivery teams. In
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to a broader computational strategy for next‑generation polymer design. About You You will have, or be close to completing, a PhD in materials science, engineering, physics, chemistry, or a related area
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(e.g. molecular biology, bioinformatics, artificial intelligence or statistics), with strong computational skills and experience working with genomic or large-scale biological datasets. Further