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apply state of the art statistical methodologies, to enable personalised uncertainty estimates, for predictions made by clinical AI. Explainability – the postholder will apply standard approaches
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or reproductive biology Knowledge of statistics and relevant statistical packages Further information We ask all candidates to submit a copy of their CV and a supporting statement, detailing how they meet the
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thermodynamics, statistical physics, computational physics, and particle levitation, but the critical requirements are a proven ability to learn fast, to think creatively and to work in a team. Within King’s, you
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detailed documents 8. Experience in the management or co-ordination of clinical studies 9. Experience of database management and data analysis using statistical software 10. Experience
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biochemistry. 4. Experience with quantitative statistical analysis of large datasets. 5. Experience with confocal imaging or similar and use of imaging analysis software. Requirements Additional Information
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Post-Doctoral Research Associate/ Post-Doctoral Research Fellow in the Department of Health Services
health services research, epidemiology, statistics, psychology or public health. 2. Good interpersonal skills 3. Attention to detail 4. Proficiency in IT (Word, Excel, database use) 5
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statistical analyses and provide supervisors with regular updates. Liaise regularly with the project supervisors to ensure that timelines and milestones are met. Integrate within the wider Department
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laboratory research to achieve the project objectives. Liaise with external collaborators as required. Keep accurate written and electronic records of all work undertaken. Analyse data, carry out statistical
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. Analyse data, carry out statistical analyses and provide supervisors with regular updates. Liaise regularly with the project supervisors to ensure that timelines and milestones are met. Integrate within
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deadlines Skills in presenting scientific research in the form of papers, posters and oral presentations Development of statistical and computational dosimetric methods if relevant Collaborative approach