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a Research Fellow to contribute to a project focused on focused on data-driven discovery of atomic catalysts. Key Responsibilities: Theoretical predictions using DFT and machine learning, and
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economical catalyst systems to convert biomass to fuel by thermal catalytic processes. The role will focus on catalyst development, performance evaluation, and mechanistic understanding via detailed
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to fundamental research in the field of energy chemistry. The group aims to explore innovative applications of advanced AI models and technologies in this field. Research topics include catalyst design, multi
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Postdoctoral Fellowship. Host Researcher and Head of the Research Group: Karel Soukup, PhD Research keywords:Heterogeneous catalysis; Nanofibrous catalyst; Electrospinning; Catalytic oxidation; Guerbet coupling
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reduction, hydrogenation and coouping reactions. The role will focus on catalyst design, mechanism study, and supervising students. Key Responsibilities: Synthesis model catalysts Evaluate the catalytic
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hydrogenation and propane dehydrogenation. The role will focus on catalyst design and supervising students. Key Responsibilities: Synthesis model catalysts Evaluate the catalytic properties Supervising students
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materials, the design and optimization of catalytic reactors, the study of reaction kinetics, and the detailed microstructural and physicochemical characterization of catalysts. The primary objective is to
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carrier molecules, with an emphasis on elucidating how catalyst structure, composition, and electronic properties govern electrochemical activity and selectivity. The successful candidate will contribute
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for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova
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contribute to the research project “ZeoCAT: Zeotype-based Catalysts to produce consumables and fuels from recycled CO2 feedstock ” funded by the Research Council of Norway. The project aims to advance