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Field
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. Planned Tasks: (1) Develop LES/RANS numerical simulation models for the hydrogen mixing and injection prototype; (2) Validate the numerical models through experimental analysis at the PRF facilities in
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systems and ultimately aims to broaden their uptake for urban energy supply. Working as part of a multi-disciplinary project team, featuring engineers, hydrologists, numerical modellers and policy liaisons
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their Ph.D. or have it completed by the start of employment. Skills and Knowledge: Knowledge of modeling and data analytics to develop simulation codes and for conducting data analysis. Superlative ability
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should have excellent theoretical and numerical analysis skills. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required
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giants and icy moons. This will be achieved through a multi-method approach, combining rotating fluid mechanics experiments, numerical simulations, and theoretical analysis. As a key member of the team
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the hydrology field, including analysis and interpretation of large datasets using various analytical, statistical, and numerical techniques. Contribute to the publication of scientific papers and presentation
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the secure management and public communication of research data to enhance research outcomes and influence health system policy. Teaching and capacity building Design and deliver teaching on carbon analysis
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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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and for conducting data analysis. Superlative ability to articulate research objectives and hypotheses, and ability to work as part of a team. Excellent analytical ability and in-depth knowledge with
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Researcher to join a cutting-edge project focused on the self-consistent analysis of black hole horizons and their observational signatures. This role offers the opportunity to work within a dynamic research