Conduct research: Stay up-to-date with the latest advancements in AI and related fields, explore new ideas, and design research experiments to investigate novel approaches and algorithms.
Algorithm development: Develop and implement machine learning algorithms, deep learning architectures, and statistical models to address specific research problems or improve existing AI systems.
Data analysis: Analyze large datasets, perform data preprocessing, feature engineering, and apply statistical techniques to extract meaningful insights and patterns.
Model evaluation: Design and execute experiments to evaluate the performance and robustness of AI models, compare different approaches, and propose improvements.
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