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) population trajectories and state welfare provision data, available as reports and regional statistics; (meso-level) collective coping strategies through social organisations, collected through their archives
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) population trajectories and state welfare provision data, available as reports and regional statistics; (meso-level) collective coping strategies through social organisations, collected through their archives
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The candidate should have experience with hydraulics, hydrology or urban drainage. Furthermore, excellent skills within mathematics, statistics, programming (Python, Matlab or other languages), and geographical
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Engineering » Other Mathematics » Geometry Mathematics » Mathematical analysis Mathematics » Probability theory Mathematics » Statistics Mathematics » Other Researcher Profile First Stage Researcher (R1
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data, available as reports and regional statistics; (meso-level) collective coping strategies through social organisations, collected through their archives and witness seminars, and (micro-level
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data, available as reports and regional statistics; (meso-level) collective coping strategies through social organisations, collected through their archives and witness seminars, and (micro-level
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Learning, Artificial Intelligence, or a related field. Demonstrate a strong mathematical foundation in optimization, statistical learning, and probability. Possess a thorough understanding of machine
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finite element methods Knowledge of fracture mechanics theory Knowledge of constitutive modelling of materials Knowledge of statistical methods, e.g., Monte-Carlo analysis Experience using non-linear