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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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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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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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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
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. Process simulation, cost, life cycle, and social assessment of CCUS value chains. Reactor design, optimization, and sizing using phenomenological and/or CFD methods. Energy system analysis. Strong
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conditions to optimize yield and quality of various crops. A good knowledge of biostimulants and organic/inorganic additives and their mode of action to improve crop yields under abiotic stress (water and salt
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, XPS, etc.) to confirm structural, morphological, and magnetic properties. Optimize synthesis routes for reproducibility, scalability, and performance tailored to target applications. Collaborate with