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and applying high-throughput experimental and analytical methods to investigate how environmental conditions and organic additives influence carbonate mineral formation. This will involve designing and
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Use; Analytical, Environmental and Forensic Sciences) connected by cross-cutting themes, that work together to use science to transform healthcare. Areas of strength span from molecules to the discovery
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process optimization. Main responsibilities: Conduct literature review on phosphate ore and waste processing and valorization; Operate and maintain mineral processing and analytical instruments; Design and
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learning analytics, with a focus on the deployment of eye-trackers or fNIRS devices; creating end-to-end prototypes of AI systems, including LLM integration, backend development, and interface design and
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insights from RWD and enhance the centre’s analytical capabilities. Develop, validate, and deploy AI/ML models to support RWE generation. Leverage the RWSAC's AI facility to conduct large-scale analyses and
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’ experience in epidemiology, data science, data analysis, or data management field. Proficiency in analytics tools such as Python, SQL, and R Strong analytical and problem-solving skills. Good command of spoken
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the development and validation of the common data model and the data integration platform for use in healthcare research. Ensure analytical methodologies are robust, reproducible, and compliant with relevant
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the Science Citation Index Expanded of the Web of Science from Clarivate Analytics where document type = article or document type = review, or in the SCI Verse Scopus with the same characteristics; or 4.2.3
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; demonstrated independent research ability; excellent analytical and critical thinking skills; ability to work in interdisciplinary teams; experience managing experimental data; proficiency in scientific writing
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• Significant experience in data analytics, statistics and/or urban analytics • Experience in urban environmental sustainability, urban environmental policy and environmental education is advantageous but not