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and regulation and how these processes are influenced by individual differences in exposure to early-life stress. The project is led by Associate Professor Armita Golkar and the research is supported by
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include: Process and manage large datasets Design and manage outsourcing for image labeling and georeferencing Conduct statistical and econometric analysis, primarily using Stata, Python, ArcGIS, and Google
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to explore possible consequences of a two-state picture of liquid water in terms of chemistry and aquatic life. Specifically, we aim to determine the local structures associated with structural fluctuations in
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the atmosphere, ocean and physical climate sciences. We offer educational programmes at the Batchelors, Masters and PhD levels. Our research addresses fundamental questions concerning the dynamics, physics