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the objectives of the Royal Society International Science Partnership Funded project “Data-Driven Surrogate Modelling for Liquid Ammonia Direct Injection Spray Characteristics”. About You The successful applicant
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Department: School of Electronic Engineering & Computer Science Salary: £40,223 - £42,405 per annum (Grade 4) Reference: 2476 Location: Mile End Date posted: 9 June 2024 Closing date: 7 July 2024
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About the Role The overall objective of the project is to develop a reduced-order surrogate model for predicting the ammonia direct injection spray characteristics using hybrid machine learning
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, International Relations, or another relevant social science discipline (or pending final confirmation of the degree). They must have substantial familiarity with the social science literature on peace and
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transport/urban planning, urban/regional economics, urban data sciences and systems engineering. Experience of transport modelling, quantitative social science research and mixed-methods research is desirable
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Department: School of Engineering and Materials Science Salary: £40,223 - £47,178 per annum (Grade 4) Reference: 2637 Location: Mile End Date posted: 12 June 2024 Closing date: 4 July 2024 Further
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Department: School of Engineering and Materials Science Salary: £40,223-£47,178 per annum (Grade 4) Reference: 2609 Location: Mile End Date posted: 12 June 2024 Closing date: 4 July 2024 Further
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The postdoctoral researcher will join the Pellegrini lab at the University of Cambridge and be embedded in a larger research team seeking to deploy new thermal detection technology to address a
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education and knowledge transfer across a wide range of subjects in the Humanities and Social Sciences, Medicine & Dentistry and Science & Engineering. About Queen Mary At Queen Mary University of London, we
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nearby ecosystem types within the UK (e.g., improved pasture, high stocking density, rough semi-natural upland grazing). The overall research team is interdisciplinary, with a strong social science focus