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implementing methods for generating synthetic data aimed at diagnosing limitations, biases and errors in AI models; developing and testing strategies for exploring the decision space of models using controlled
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source software (e.g. participation in open source projects, contributions to public repositories); Knowledge of tools and practices related to scientific software development (version control, CI/CD
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