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processing, analysis, synthesis, and quality checks (15%) Machine learning programing and algorithmic code development (10%) Computational modeling and numerical simulations (5%) Literature review and
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, planning, scheduling, and coordinating laboratory and field experimental works in support of various research projects (7%) Program coding, machine learning algorithms, macros, & software development for
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packages in R or Python. Experience in big data analytics, including processing, analyzing, and interpreting large datasets. Knowledge and application of statistical modeling and machine learning
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