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, Biostatistics, or related medical/pharmaceutical fields. Proficiency in statistical software such as R, SAS, STATA, or Python. Experience analyzing large-scale databases (e.g., NHIRD, Biobank) is highly preferred
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of Large Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong
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discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning
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