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, Geographical Information Systems (GIS)). -Computational methods, Statistical analysis, Network Analysis -Big Data, Crowdsourcing, Artificial Intelligence -Photogrammetry •Support in the teaching process of
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. Implement research studies on hydraulic and water quality modeling using real and simulated data. Employ advanced statistical methods and/or machine learning techniques for data analysis. Design and
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statistical analysis to analyze complex environmental data and design systems that assist in decision-making. Develop methodologies for monitoring, control, optimization, and decision support for water systems
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, or other relevant field from an accredited institution. An M.Sc. (or equivalent) degree and/or background in Mathematical Optimization, Control Theory, Bayesian Statistics, and Machine Learning, will be