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surfaces using surface chemistry and interfacial analysis techniques. Contribute to the optimization of flotation process parameters based on experimental results. Work closely with a multidisciplinary team
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processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices
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. Additional Skills (Preferred): Experience with environmental data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative
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communities in soil environments. Develop and optimize laboratory protocols for characterization, and functional analysis of soil biology. Utilize high-throughput sequencing technologies to analyze soil
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, concentration, recovery, or destruction of certain elements. Therefore, the chosen candidate will be expected to contribute to the performance of a wide range of scale-up studies of a magnetic and electromagnetic
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composite materials, derived from inorganic by-products and other sustainable precursors, is available at CBS.GPE. This position involves the design, synthesis, and characterization of metal-organic
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highly motivated candidate with strong expertise and interest in developing MOFs and their composites for sensing. Metal-organic frameworks (MOFs) have gained significant attention in sensing due
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of software tools for the broader research community. Responsibilities: Develop and implement transformer-based genomic language models for bacterial genome analysis. Train and evaluate models on large-scale
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of cities, focusing on urban development dynamics and urban financial management. Responsibilities: Research and Analysis: Conduct original research on urban economics, including the analysis of economic
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and improving governance processes in cities, focusing on stakeholder dynamics and urban policy strategies. Responsibilities: Research and Analysis: Conduct original research on urban governance