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mechanics, and analytical and numerical methods to solve partial differential equations. Excellent oral and written communication skills. Prior experience in computational fluid dynamics or active matter will
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and fairly The fluency in relevant models, techniques or methods and ability to contribute to developing new ones Fluency and experience with high performance and/or high throughput computing Expertise
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to the space-based LISA observatory. The research will advance post-Newtonian waveform modelling through improved analytical techniques, incorporate strong-field information from numerical relativity simulations
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. Supervise students on research related work and provide guidance to PhD/MSc students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management
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at strain/genomic level, Luminex cytokine analyses Undertake a combination of computational and experimental approaches to study microbiota and RNA signalling across a human time-course interventional study
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for publication, research seminars etc Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/School research-related
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work closely with the Grade 8 Qualitative Research Fellow and contribute to broader interdisciplinary activity across the Professorship programme. There may be occasional contributions to related
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outcomes Triangulate data from multiple sources (employees, managers, productivity measures, and KPIs) using multiple collection methods (surveys, interviews, observations) and quantitative and qualitative
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control strategies integrating fuel, engine, electric machine, and energy recovery systems for improved overall efficiency. Validate the developed methods through experimental and simulation studies
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(e.g. locking oscillators to a common source) but also hybrid methods Analysis of target Signal-to-Noise Ratio (SNR) achievable through effective signal synchronisation against use cases