A leading university in Singapore is seeking a Research Associate to analyze equipment degradation data and develop forecasting workflows using advanced statistical and machine learning models. The ideal candidate holds a Master's degree in a related field, has proficiency in Python, and demonstrates strong analytical skills. Responsibilities include developing forecasting methods for monitoring semiconductor equipment and documenting findings. This role offers a full-time position on NTU's main campus.
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