18 parallel-computing-"RMIT-UNIVERSITY" Postdoctoral positions at University of London
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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Institute, QMUL, whose research aims to develop and apply computational tools to identify the genetic determinants of rare Mendelian and common complex human genetic diseases using genomics and other omics
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About the Role The post entails undertaking research in collaboration with and under the supervision of the project lead of the research programme ‘Politics and mythmaking: disentangling myth from
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer
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About the Role Join the Green-Loop project, a £1.3M UKRI-EPSRC and DEFRA-funded programme addressing solar panel waste. By 2030, the UK will generate approximately 1 million tons of decommissioned
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equivalent to PhD level in the relevant subject area for the research programme. They will be educated to degree level in a relevant field and have qualifications in participatory research methods, alongside
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About the Role The postholder will develop novel methodology in statistical finance. The focus will be on applications in high-dimensional time series analysis and the development of adaptive models capable of learning online from new data. Both low- and high-frequency data analysis will be...
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the Faculty of Science and Engineering. While it is built around the core disciplines of Physics, Astronomy, and Chemistry, it also incorporates data science, reflecting a growing emphasis on computational and
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Trust-funded project on Plasma-Assisted Combustion (PAC) Modelling of Ammonia, in collaboration with the York Plasma Institute. The successful candidate will develop and apply advanced computational