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with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures, and evaluate their ability to generalise across different process
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, and evaluate their ability to generalise across different process conditions. The models you develop will not remain confined to the research lab, but will be validated experimentally and tested
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scenario analyses to examine how noise might evolve across different technological and operational futures and how it interacts with emissions, policy options and airport‑level constraints. This is a key
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simulations; (ii) diagnose and attribute the physical mechanisms driving inter-model differences in recovery; and (iii) design and run targeted mechanism-denial experiments (e.g., in CESM and related Earth
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(s.afshan@soton.ac.uk ) for further information about this position in advance of submitting your application. Applicants should hold a PhD in Structural Engineering or equivalent professional qualifications
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working with us website pages. Please note: successful applicants will be appointed to a different salary range (£46,675 to £62,502 ) if they were at ST3 on or before 2 August 2016.
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are invited to contact Dr Sheida Afshan (s.afshan@soton.ac.uk ) for further information about this position in advance of submitting your application. Applicants should hold a PhD in Structural Engineering or
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of their PhD, potentially waiting for their final viva voce examination, which must be passed prior to taking up the award. ECRs will not have held a permanent academic post or a permanent post with a research
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-being and work-life balance, please see our working with us website pages. Please note: successful applicants will be appointed to a different salary range (£46,675 to £62,502 ) if they were at ST3
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., British Antarctic Survey) and internationally (e.g., Scripps Institution of Oceanography, Alfred Wegener Institute, Korea Polar Research Institute). Applicants should have a PhD or equivalent in physical