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session on interrupted time series methods. You will be ideally working towards/ near completing a PHD in epidemiology, public health or a related discipline. You should be conversant in working with
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 15-Jul-25 Location: Irvine, California Type: Full-time Categories: Academic/Faculty Medical - Clinical Internal
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project, regarding the series’ attractions for readers, and the meanings given to the series. This will open up a sociocultural history of the post-war period in these two countries. The project will also
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to air pollution in the future, and planning further policy changes. This PhD project will develop statistical modelling frameworks that are able to handle large-scale, complex, and correlated time series
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would co-develop the research objectives and select the methods to be implemented with supervisory support. Some ideas to discuss include integrating repeat GEDI LiDAR surveys with time-series
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such as landslide movement style, runout, and how landslide hazards evolve over time. This Ph.D. project will leverage the analysis of new time-series data from cloud-based satellite image archives
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for household who stay indoors, and to prepare for emergency responses. Possible quantitative methodologies include concurrent time-series analysis of outdoor and indoor environment data, prediction model
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seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis
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doctoral studentship. This is a fully funded full-time international studentship for three years, commencing January 2026. The prospective doctoral student will focus their attention within the broad field
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doctoral studentship. This is a fully funded full-time international studentship for three years, commencing January 2026. The prospective doctoral student will focus their attention within the broad field