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experience or knowledge in one or more of the following areas are also a merit: Space physics Plasma physics Computational physics Applied mathematics and modelling Numerical methods for partial differential
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theoretical understanding of hydrology, boundary layer meteorology, and arctic ecosystem dynamics will be ideal for the planned work. Strong quantitative skills, including programming, numerical modeling and
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proficient in the project related areas, and in particular regarding: Machine Learning, Numerical Methods, Probability Theory, and Bayesian Methods and MCMC Algorithms. Proficient programming skills is a
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