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ultimately shifts in species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species
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methods will be benchmarked on a variety of applications based on models with intractable likelihoods and computationally expensive stochastic simulators, such as large-scale agent-based models in
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modelling using R. Proficiency in microsimulation and agent-based modeling. Excellent written and oral communication in English. Excellent personal time management, project management and
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analysis. Experience with agent-based or logic-based approaches is advantageous. Demonstrated ability to translate biological and clinical questions into practical computational frameworks, bridge wet