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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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computing and machine learning. The research will emphasize both theoretical advancements and practical implementations optimized for modern HPC systems. The postdoc will primarily contribute to one or more
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design. Objectives: The main objective is to support the development and validation of morphing drone prototypes by combining structural optimization, lightweight design, and experimental testing
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optimize composite materials that can significantly enhance the efficiency of wastewater purification processes by leveraging the piezocatalytic phenomenon an emerging technology with great potential
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the innovative use of piezocatalysis. The successful candidate will engage in cutting-edge research to understand, design, and optimize composite materials that can significantly enhance the efficiency
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and structural analysis Cheminformatics and chemical data mining Computational catalysis or process optimization AI applications in analytical, organic, inorganic, or physical chemistry Automation in
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characterization. Conduct research to design, develop, and optimize sensors for industrial applications. This includes exploring novel sensing technologies, materials, and data analysis techniques. Conduct rigorous
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in Statistial models for optimizing the chemical process Skills in elemental & structural analysis using various existing techniques. Knowledge in advanced structural characterizations will be valued
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kinetics principles. Key Responsibilities: Develop and optimize adsorbent catalytic materials (e.g., heterogeneous catalysts, supported metal catalysts, photocatalysts). Design experimental setups for gas
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, and more. For instance, in electric vehicles, the BMS carries out functions such as monitoring, controlling, optimizing, and ensuring safety to mitigate potential hazards related to battery performance