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combine multi-modal neuroimaging and consciousness science with information theory, network science, and whole-brain biophysical modelling. We triangulate fMRI data across humans, macaques, and mice
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3.5-year D.Phil. studentship Supervisor: Dr Thiago B. Burghi This project will develop data-driven models for predicting seizure-like events in living neural networks. Such events can be induced in
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Investigating how water-rock interactions influence geothermal reservoir sustainability using experiments and geochemical modelling Award Summary 100% home fees covered, and a minimum tax-free
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- “Co-exposure to urban traffic-derived PM2.5 and noise: Cerebro-pulmonary-cardiovascular axis using murine models; Atmospheric chemistry and environmental health impacts”. Qualifications Applicants
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ponencias en congresos nacionales/internacionales. Search, download, and analysis of databases. Programming in R or Matlab (or Python). Analysis and modeling of time series using ARIMA techniques. Preparation
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To make reliable predictions and analyses of air pollution, data assimilation methods, which integrate observational data into model simulation to update the model state and the underlying
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often improved through trial and error rather than through a detailed understanding of the underlying science. The project will combine advanced measurements, computer modelling and experiments
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task followed by the other secondary items, as time permits. Secondary tasks include: data cleaning and preparation, supporting the dyadic couple sexual response model study, adapting manuscripts to meet
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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, numerical modelling, data processing, and the preparation of research reports. Organizational Status Reports to the Professor and the Research Associate responsible for the project. Works collaboratively with