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or closely related field (statistics, physics, biomedical engineering). - Experience communicating with multidisciplinary researchers. - Practical experience with large-scale real-world time-series data
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, model calibration, numerical analysis, data visualisation, data curation and statistical analysis. The post holder will be responsible for these outcomes and may be asked to direct team members to assist
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statistical tools to analyse large multi-omics datasets from several large-scale prospective cohorts addressing important questions in cancer aetiology and prevention. In addition, you will be passionate about
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relevant discipline (e.g., biological sciences, nursing, neuroscience, psychology etc) Knowledge of basic research methods and statistical procedures Knowledge of general laboratory practice, techniques, and
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well as the principles and practice of running mechanistic clinical studies from practical aspects through to statistical analysis. You will have principal responsibility for clinical assessment, prescription, and safety
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particular emphasis on preparing analysis-ready datasets that support downstream statistical and machine learning workflows. You will work closely with Dr Cynthia Sandor within a collaborative and
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. You should have a good master’s degree in a subject related to physical, biophysical, computational physics, statistical physics, soft matter and polymer physics, materials, bioengineering, physical
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/Qualifications You should have a good master’s degree in a subject related to physical, biophysical, computational physics, statistical physics, soft matter and polymer physics, materials, bioengineering, physical
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, and patient-reported data using appropriate statistical and modelling techniques. Flexible, proactive, and well organised, with the ability to manage competing priorities and deliver high-quality