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diverse set of time-dependent forecasting models (e.g., neural network, mechanistic, statistical, and data-driven) to serve as experts within the integrative architecture. (iii) Mixture-of-experts
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data analysis and public policy. He/ She is expected to show methodological rigor and transdisciplinary sensitivity, proven experience in the execution and support of international research projects
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between the research teams appointed by PSML and the CEABN research team; Supervision of field surveys and data collection on vegetation, built heritage, hydraulic systems, circulation networks, viewsheds
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