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using complex statistical methods (i.e. structural equation modelling and/or multivariate analysis). The successful applicant will enjoy data analysis and working with complex data and will have some
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experience within 2 of the following research fields: Programming in Python or Matlab EEG analysis (ERPs and Time Frequency) Machine learning Sleep scoring or analysis of sleep elements (like spindles or Sos
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in data analysis, manuscript preparation and presentation at conferences. Experience with qualitative methodology is essential. Experience in Realist synthesis is strongly desirable, as
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diagnosis of bowel cancer: A rapid ethnographic study) funded by Cancer Research UK. The postholder will support the work across all planned research phases which include analysis of survey data, site
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phenotypic data derived from cellular models using a variety of statistical approaches, including linear mixed-effects models with a focus on genetic and genomic analysis. Prepare publications and where
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to learn about new concepts such as data analysis. Interested potential candidates are welcome to contact the Study Manager, Dr Joy McFadzean, Clinical Lecturer of Patient Safety, Division of Population
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opportunity to join an interdisciplinary team and contribute to high-quality research combining psychology, digital health, and movement-based therapy. You will play a key role in data collection, analysis