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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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. These include mathematical analysis, numerical simulations, computational and data science approaches, natural language processing, etc. Depending on the specific findings, research outputs are targeted
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international scale and will contribute to improving the grains industry’s ability to understand and manage the economic risks of the target species. Activities will ensure trans-disciplinary collaborations
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