assimilation techniques (MonteCarlo methods, variational methods, machine learning, etc.) are best suited for operational...: 1) How can existing measurements (SuperDARN, magnetometers) be used in new and non-traditional ways? 2) What data...
direct simulation MonteCarlo (DSMC) method. To date, there are few practical 3D solvers that address a direct solution...This PhD project will focus on developing data-driven methods to accelerate the Swansea University in-house...
will be undertaken by the PhD candidate using the 2D fluid/Monte-Carlo Hybrid Plasma Equipment Model (HPEM), under the supervision of the... will have demonstrated capabilities in computational modelling and large-scale data analysis. A working knowledge of FORTRAN, or a similar...
techniques, including logistic regression, MonteCarlo simulations, and Bayesian methods. Strong analytical mindset with the...). Perform data analysis, feature selection, and statistical modeling to enhance the predictive power and stability of risk...