186 quantum-engineering-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United Kingdom
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Assimilation, you will use advanced data-science technology to improve projections of ice loss from Antarctica, as well as use data-driven techniques to uncover poorly understood ice-sheet physics which will
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. The broader goal of the overall programme, funded through the Wellcome Trust bioimaging technology development initiative, is to deliver multimodal datasets in an interoperable manner through open access
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: Host strain screening and engineering for microbial bioprocess development; microbial physiology and adaptation for industrial applications; high-throughput screening and automation for strain
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, business and technology in creative industries and the arts. UCA has a strong base in practice-based research and is developing knowledge exchange (KE) and Innovation alongside this strength. To consider
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technology and a diverse range of specialist training opportunities, including support for leadership and management. Click here to find out more about working at the John Innes Centre. About the
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access to state-of-the-art technology and a diverse range of specialist training opportunities, including support for leadership and management. Click here to find out more about working at the John Innes
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geography/remote sensing, ecology, statistics, engineering, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming
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biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and clinicians at Great Ormond Street
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engines and natural cirrus clouds, hours to days after the emission. You will have, or be close to completing, a PhD in climate science, meteorology or related fields. Ideally, you will also have strong
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: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong