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related to infrastructure, health, and the environment, and simulate scenarios under different climatic and social contexts to provide decision-making tools for sustainable urban planning. Main Tasks and
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Physics, Chemical Engineering, and Environmental Engineering focusing on different research fields such as
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Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, Plasma Science and its applications, and organic
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under different climatic and social contexts to provide decision-making tools for sustainable urban planning. Main Tasks and Responsibilities: Develop a predictive model integrating the direct and