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for complex molecular systems. Previous experience in at least two of the following areas: multi-scale modelling, molecular dynamics, statistical methods, data analytics, and stochastic (Monte Carlo) methods
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, with candidates having the opportunity to develop skills in statistics, epidemiology, and environmental science and more, enhancing their ability to work across disciplines. It requires perseverance
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, analysis, and interpretation, with candidates having the opportunity to develop skills in statistics, epidemiology, and environmental science and more, enhancing their ability to work across disciplines. It
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statistical analysis of data from various application domains. Close collaboration with cross-functional teams, such as researchers, product managers, backend engineers, data scientists. Contribution to project
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projects with a focus on Methane emissions over the EMME region; atmospheric measurements of greenhouse gas concentrations, 3-D chemistry transport models, emission inventories, and statistical analysis
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the area of computational modeling and large-scale simulations of physical systems by utilizing advanced computational methodologies across scales, modern statistical (e.g. Bayesian) approaches, and machine