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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. Key duties The successful
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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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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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optimized to maximize/minimize one or more of the abovementioned metrics under certain constraints. However, very little work has been performed on system/network optimization while considering
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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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fertility, optimize nutrient availability, and contribute to more sustainable agricultural practices. Job Responsibilities Study the biology, ecology, and physiology of microalgae and cyanobacteria
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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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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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researcher specializing in Sodium-ion (Na-ion) cathode materials to join our research team. This position focuses on the design, synthesis, characterization, and optimization of advanced cathode materials
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researcher specializing in Li-ion cathode materials to join our research team. This position focuses on the development, synthesis, characterization, and optimization of advanced cathode materials for next