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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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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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dimensional materials, and sustainable materials. We are seeking a research fellow to lead the computational design and optimisation of heterogeneous catalysts for biomass conversion. This role will combine
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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
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nanoparticle catalyst, and optimization of enantioselective metal-catalyzed reactions. The role will focus on autocatalysis particularly related to amplification of enantiopurity. The candidate should also have
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political obstacles to renewable energy-driven recycling of CO2 and H2O to consumer products and e-fuels. The catalysis component of the project aims to explore catalysts and catalyst combinations for single
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catalysts and catalyst combinations for single-reactor (tandem) conversion of CO2/H2 via (m)ethanol to olefins. Prior knowledge to the specific issue area is no requirement, but experience with heterogeneous
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Catalysts to produce consumables and fuels from recycled CO2 feedstock ” funded by the Research Council of Norway. The project aims to advance fundamental insight into the structure-composition-function
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related insitu characterizations. The role will focus on establish the analytical methods as well as help supervising students. Key Responsibilities: Synthesis model catalysts Evaluate the catalytic
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will 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