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discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural
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mechanisms, biomarkers, and therapeutic targets in solid tumors through multi-omics data analysis of large pan-cancer datasets, including proteogenomic data generated across high-throughput profiling platforms
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skills, including econometric and statistical methods, and experience of analysing labour market data. We would particularly welcome experience of using large-scale survey, administrative or linked
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. Substantial experience in large-scale national or international oral epidemiological research, oral epidemiological examinations, and the management and analysis of complex oral epidemiological data
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diabetes, neurocognition, and cardiometabolic disease Functional interpretation of disease-associated genetic variants Integration of single-cell multiome data (snATAC + scRNA-seq) with large-scale human
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field. A strong background in artificial intelligence, machine learning, computational biology, and/or large-scale biological data and measurements to develop and evaluate innovative approaches
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classify social media data (video, audio, text), using high-performance computing environments to develop privacy-preserving analytical pipelines for social media data donation research. Working with Dr
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is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their
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, comparative social policy analysis, working with large-scale longitudinal data sets, set theoretic methods, or computational social science would be a distinct advantage. The appointees’ primary duties will be
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mechanisms, forecasting performance, return period, and multi‑sectoral impacts using high‑resolution meteorological data, satellite imagery, and climate models. It evaluates both natural drivers (El Niño