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materials synthesis, characterisation, and device fabrication. • Familiarity with computational modelling or data-driven analysis is advantageous. • Ability to work independently as
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, comparative social policy analysis, working with large-scale longitudinal data sets, set theoretic methods, or computational social science would be a distinct advantage. The appointees’ primary duties will be
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(PHHP) seminars, and other relevant educational programs. Data Analysis and Reporting: Prepare and distribute financial and non-financial reports to inform decision-making and project outcomes. Conduct
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researchers through data analysis, manuscript preparation, grant applications, and other collaborative outputs. Explore and pilot innovative research methods and AI-enabled research tools to enhance research
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. The project seeks to advance the analysis of dynamical systems through the development of novel techniques in functional analysis, operator theory, ergodic theory, differential geometry, and/or data science
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sustainable infrastructure. In this role, the successful candidate will develop and validate advanced numerical models of energy micropiles, undertake large-scale simulations and data-driven analysis to explore
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of methods for tasks such as data harmonisation, phenotype representation, genomic analysis and patient or gene prioritisation. Working within research high-performance computing (HPC) environments
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To lead academic research on cognition in study cohorts, conduct data analysis and write scientific manuscripts and grant applications. To provide supervision to junior staff in academic and non
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development, data collection and multivariate analysis, regulatory compliance, and manuscript and abstract preparation. Fellows are also expected to engage in departmental and institutional seminars, continuing
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. With Professor Cusack and the team, the postholder will participate in the full process from setting up awake infant OPM-MEG, experimental design, data acquisition, analysis, computational modelling