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will focus on the formulation and synthesis of advanced synthetic polymers with optimized architectures and tailored functionalities for industrial applications, such as wastewater treatment, fertilizer
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computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. The ideal candidate should have a strong background in artificial intelligence and
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polymerization techniques; 2) development and optimization of protocols for the preparation of nanoparticles; 3) evaluation of the unique properties and functionalities of the developed biomaterials. This position
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to develop predictive models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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identify the optimal foaming process parameters and study the effects of additives such as starch, silica and calcium carbonate on thermal, mechanical and water-related properties. They will also be