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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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. To this end, the areas of particular interest include, but are not limited to, mechanobiology, morphogenesis, molecular motors, natural and naturally-inspired molecular machines, statistical mechanics and bio
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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