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of three postdoctoral positions advertised connected to the RADHEART project. The postdoctoral position forms a part of the NARRATIVE work-package. The successful applicant will become part of a large and
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to the RADHEART project. This postdoctoral position forms a part of the NARRATIVE work-package. The successful applicant will become part of a large and dynamic research environment focused on the ancient world
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modelling, data-driven climate modelling, and working with large ensembles of climate/weather model output are advantages. The LEAD AI mobility rules must be followed. Outgoing fellowships require
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work upon. Suggested reading to explore this line of research further: Kitto, K., Hicks, B., & Buckingham Shum, S. (2023). Using causal models to bridge the divide between big data and educational theory
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group: The Centre for Elderly and Nursing Home Medicine (SEFAS), which has several ongoing studies in which sensor data from wearables and radar installation are used to monitor symptoms, intervention
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bias-corrected and downscaled climate data as input. The reconstruction of past floods from lake sediment records will be used to compare with model outputs, which will assess the models' ability
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(geostatistical) data analysis approaches (at least Excel and ArcGIS, but preferably also R and Grapher or similar) is a requirement Strong skills in statistical analysis and the handling of large spatiotemporal