Collaborate with researchers, data scientists, and engineers to collect and preprocess data from Web3 platforms and networks for training and evaluation of machine learning models for anomaly detection.
Conduct thorough analysis and evaluation of machine learning models to measure their performance, identify limitations, and propose improvements within the Web3 context.
Stay up-to-date with the latest advancements in machine learning research, anomaly detection techniques, and Web3 technologies to propose novel research directions for anomaly detection in Web3 applications.
Publish research findings in top-tier conferences and journals, and contribute to the open-source community by releasing code and tools relevant to machine learning and anomaly detection in the Web3 ecosystem.
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