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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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The 6G National Research Programme is at the forefront of pioneering research and development in the field of 6G technologies. As part of the Communications Hub for Empowering Distributed Cloud
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of Earth and Environment (SEE), and working closely with its School of Civil Engineering, you will use various seismic datasets – including data already recorded with fibre-optic distributed sensing systems
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in distributed database systems, information retrieval, computer networking or semantic web. The post does not involve working outside of the UK for over 30 days in a row or over 90 days in a year. For
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in distributed database systems, information retrieval, computer networking or semantic web. The post does not involve working outside of the UK for over 30 days in a row or over 90 days in a year. For
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across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both keyword-based search and SPARQL querying. EPRESSO will build on and extend existing frameworks and systems
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working will be considered. Contract type: Fixed term contract Fixed Term Period: For 24 months Salary: Full time starting salary is normally in the range of £37,337 to £41,478 per annum. Apply by: 19/08
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electrical power distribution system. Prior knowledge on power system condition monitoring would be an advantage. Experience in project work would an advantage. Share this job Facebook Twitter LinkedIn Apply
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, distributional impacts of policies, socio-economic modelling, or quantitative policy evaluation. Research with direct implications for public policy is preferred, particularly in areas related to energy, social
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applications for a Research Fellow to join a BBSRC-funded project exploring mechanosensing and flight in insects. This exciting role is based in the Comparative Biomechanics Group at the University of Leeds