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data for digital pathology approaches. Applicants should have a strong computational background and expertise in dealing with large datasets. Excellent programming, data analysis, statistics and deep
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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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conduct basic statistical analyses quickly to inform a Centre/programme response. Preparing data reports for the project leads Conducting and supporting data analysis (e.g., multi-level models, longitudinal
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funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about applied statistics and eager to make a meaningful impact in
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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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management, complex statistical techniques, disseminating findings and governance applications. They will have a proactive and flexible approach to work with the willingness to undertake occasional travel
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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