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to biological mechanisms which are addressed directly, empirically, and statistically. The reason is that we know how to test hypotheses about mechanisms but no similar method currently exists for purpose. Our
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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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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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oriented environment. The post holder must have experience with EEG and should be able to carry out acquisition and analysis of EEG data independently. The post holder must also have a strong statistical
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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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independently. The post holder must also have a strong statistical background, with at least one recent publication in an internationally reputable journal. Application Process You will be required to upload a
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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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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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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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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