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Field
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
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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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Faculty Professor Research Assistant - Full-Time Med-Immunology - Pennsylvania-Pittsburgh - (25002421) The Department of Immunology at the University of Pittsburgh School of Medicine is seeking
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processes across scales, from molecules to organisms. At the same time the mechanistic regulation of R-loops themselves is studied. As one of a cohort of 12 4R PhD positions, you will be part of a vibrant
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regulate biological processes across scales, from molecules to organisms. At the same time the mechanistic regulation of R-loops themselves is studied. As one of a cohort of 12 4R PhD positions, you will be
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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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nature-based solution opposed to traditional ‘grey’ engineering, offer catchment-level solutions by using natural processes to slow and store water through a series of diffused interventions. Historically
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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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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