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the Aspasia premium awarded to dr. Mitra Baratchi for her research on machine learning for spatio-temporal data. The successful applicant will be embedded in the Spatio-temporal Data Analysis and Reasoning
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: refining the project’s research questions, interview protocols, coding frameworks, and analytic approaches; leading one or more strands of data collection and analysis, including semi-structured interviews
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strands of data collection and analysis, including semi-structured interviews with undergraduate students and analysing coursework artefacts; analysing how students interpret, evaluate, and represent
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the VITAL consortium and contribute to patient-specific or cohort-level virtual human twin simulations. You will also contribute to patient-specific model calibration workflows, including sensitivity analysis
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analysis and hydro-climatic extremes. Terrestrial carbon and ecosystems: enhancing our capacity to observe, quantify and understand land processes and terrestrial ecosystems with a special focus on the