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, machine learning, data-driven dynamics, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate
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, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate observations/models and from models
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and perform numerical simulations To be successful at Level B please address the selection criteria A PhD or equivalent in data science, social network analysis, mathematical modelling, statistics
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., hyperspectral) and climate reanalysis data, calibrated with in situ field data, laboratory analysis, and numerical models of landscape evolution. Apply today to spearhead groundbreaking landscape evolution
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experience contributing to research projects, from problem formulation to analysis, publication and dissemination of findings. Contribute to supervision or mentoring of undergraduate or postgraduate research