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of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer efficiency, controlled release, and sustainability in agricultural applications
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the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing, comminution modeling, and ore characterization, and will
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techniques (e.g., DNA/RNA extraction, PCR, qPCR, metagenomics, transcriptomics) to study microbial communities in soil environments. Develop and optimize laboratory protocols for characterization, and
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties The successful candidate is expected to: Build and evaluate chemical databases
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, characterization, and application. Demonstrate knowledge and/or experience in sensor processing including design, fabrication, and characterization. Conduct research to design, develop, and optimize sensors
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, analyze data, and publish findings in high-impact journals. The role requires active participation in an interdisciplinary team to evaluate and optimize integrated soil fertility management strategies. Key
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impeller performance, analyze hydrodynamic characteristics, and identify key synthesis parameters influencing material quality. The resulting models will act as a predictive tool for process optimization and
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optimization and logistics management. Data analysis and project management skills. Strong understanding of optimization concepts and profitability. In-depth knowledge of environmental sustainability standards
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systems, knowledge management, and decision-support tools Forecasting, monitoring, and early warning systems Environmental sustainability and sustainable development Through strong collaboration with
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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex