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Job no:520746 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences, Social Sciences Lead numerical modelling of carbonate sand for offshore foundations, support
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of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the neurobiological basis of intelligence. Research and development of new AI or ML
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Lead numerical modelling of carbonate sand for offshore foundations, support research outcomes, and contribute to publications and student supervision. Full-time appointment on a fixed term basis
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to intelligent urban mobility studies, in particular mobility data analysis and modeling. Statistical modeling software and other tools for data processing and analysis will be used. The fellow will also take part
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looking for your next challenge? Do you have a background in transport modelling or equivalent expertise? Do you want to further your career in one of the UK’s leading research-intensive Universities? If so
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numerical and physical modelling studies to assess the agitation, stability, overtopping and pressures on maritime structures in ports and coastal areas and to evaluate ship behaviour in ports. The impact of
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background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group. Purpose We are seeking highly
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signal processing models to analyze waveforms generated by traditional patient monitors and a novel wearable sensor and build a decision support tool to guide CPR Participate in the user interface and
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policy briefings Contribute to development of implementation strategies and evaluation plans Supervise students working on related research themes Contribute to developing and refining models, methods, and
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-related illnesses (HRIs) in Singapore’s context. This study aims to establish baseline HRI data and integrate this with climate projection models to assess future health burdens and intervention strategies