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research experience. A substantive interest in social inequality, education, and labour market research. Desirable Criteria: Experience working with longitudinal datasets Familiarity with statistical
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functions—can interfere with early-developing, implicit learning mechanisms that support the extraction of regularities and rules from spoken input (statistical learning). The project examines whether
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of Religion at the Department for the Study of Religions in the position of a postdoctoral researcher focusing on mathematical modelling of data and statistics within the Czech Science Foundation Junior Star
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. The investigator applies advanced statistical techniques to discover mechanistic pathways driving severe patient deterioration. Continuous collaboration with intensive care physicians ensures the clinical relevance
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midge) larvae. Based on these sensitive temperature indicators, they will develop quantitative reconstructions of glacial temperatures using multivariate statistical methods, results that will be compared
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programme: Evidence synthesis, qualitative methods and analysis, mixed methods, statistical analysis potentially including meta-analysis, intensive longitudinal methods, writing for publication, thesis
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level in machine learning, computer science, mathematics, statistics, physics, or a related area that is considered relevant for the research topic of the project, or completed courses with a minimum of
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to manipulate large datasets and good knowledge in statistical modelling (e.g. generalized mixed modeling) will be required. No field campaign will be necessary and the candidates must thus have a strong appeal
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their London-based doctoral studies, providing a truly unique and highly sought-after dimension to their research training. The Project How can we design statistically reliable frameworks for what-if analysis in
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research. Experience applying machine learning and statistical modeling techniques to large biological datasets for biomarker discovery, disease prediction, or host-pathogen investigations. Proficiency in