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tools, data science techniques, and spatial analysis to leverage big data from cities and model their evolution. Main Tasks and Responsibilities: Collect, clean, and structure large volumes of urban
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Position Description: We are seeking a postdoctoral researcher specializing in urban modeling and cost analysis to develop an innovative model to estimate the direct and indirect costs
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alternatives in terms of efficiency, environmental friendliness and sustainability. Job Description CBS is looking for a post-doctoral fellow in process systems engineering, and particularly in modeling
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on soil biology, microbial ecology, and molecular biology techniques. This position offers an exciting opportunity to contribute to advancing our understanding of microbial communities in soil ecosystems
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of process modeling software (e.g., Aspen Plus, COMSOL, or equivalent) is a plus. Excellent written and oral communication skills in English. Ability to work independently and as part of a multidisciplinary
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for conducting research on climate variability assessment and hydrological modeling at the catchment scale. The selected candidate will engage in cutting-edge research that bridges the disciplines of climate
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valorization is essential. Required Knowledge: Solid knowledge of acid-base equilibria, and carbonate system modeling. Good understanding of calcium carbonate behavior and dissolution kinetics. Hands
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, comminution modeling, and ore characterization, and will contribute to developing an integrated beneficiation strategy that reduces operational costs, and energy consumption. This research aligns with broader
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digital twins to develop innovative solutions for monitoring, analyzing, and optimizing urban systems in real time. The candidate will contribute to modeling interactions between physical and digital
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
disorders, and microbiome-related health issues by applying advanced AI/ML techniques for biomarker discovery and metabolic network modeling. Scientific Challenges Addressed in the Position: High