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PyTorch or ONNX. Demonstrated experience working with large-scale data processing and deployment (local and cloud) including SQL database technologies. Demonstrated ability to represent complex data
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disease prevention/management, pharmacoepidemiology and big data research. The successful candidate will also develop and strengthen internal and external relationships with relevant research groups and
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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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