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; and conduct data analysis for the Dean of Doctoral College. They will also work collaboratively with and support other Doctoral College colleagues and the Strategic Executive Officer (Research
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datasets. Some experience with observational data analysis and familiarity with risk prediction is required. A commitment to multi-disciplinary and collaborative working is essential. Experience using
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, conducting simulation studies, analysis of datasets from economic and social research studies, software implementation and delivery of workshops. The Research Fellow will be supervised by Prof. Jonathan
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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. You will oversee the School-wide AI ecosystem, inclusive of driving the adoption of generative AI, as well as predictive AI (e.g using techniques such as statistical analysis and machine learning
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planning processes and best practices. Familiarity with stakeholder management and communication strategies. Knowledge of performance metrics and data analysis techniques. Awareness of event management
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying