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responsible for adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and analysing quantitative imaging data from a variety of sources, including Spatial
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skills: excellent knowledge of French; Technical skills: knowledge of linguistic theories; experience with empirical methods, in particular statistics (R); Teaching skills; Interest in third mission
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Institute, MI), Professor Simon Leedham (NDM), Dr Joshua Moore (MI) and Dr Eoghan Mulholland (NDM). You will be responsible for adapting existing mathematical and statistical methods for analysis of high
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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cloud data and 2D floor plans to assess spatial and visual properties of EDs, ensuring data accuracy through ground-truthing. Apply cluster analysis and statistical methods to classify EDs into spatial
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correlational and causal links between online polarization and a multidimensional perspective on mental health and wellbeing. Using advanced methods in statistical modeling, NLP, HCI, and experimental design, it
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statistical and econometric data analysis) Ability to work both independently and within international teams Application Requirements Curriculum Vitae (max. 5 pages) Cover letter outlining your research
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theoretical basis for modelling functional biodiversity, based on eco-evolutionary optimality (EEO) theory. The PDRA will be explicitly responsible for statistical analysis of plant trait data and the
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community be adept at using SPSS and/or other statistical software packages to conduct statistical analysis of large datasets, and will show proficiency at carrying out interviews on potentially sensitive
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expected to contribute to their subsequent analyses and development of robust statistical and computational pipelines to advance our understanding of host–microbe interactions and to enable timely