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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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management decisions and mitigate risk. The successful candidate will develop the research objectives in collaboration with an experienced supervisory panel, comprised of researchers at the University
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. The objective of this project is to explore how Physics-Informed Neural Networks (PINNs) could enhance the detection, classification, and interpretation of weak and noisy signals in complex environments
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