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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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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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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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Postdoctoral fellow position. This position is available to individuals with research experience working with catalysts, including zeolites and supported metal nanoparticles, as well as in measuring reaction
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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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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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energy input, shows limited catalyst durability, and operates with modest conversion efficiencies (10–20%). Photocatalysis and electrocatalysis, though capable of high conversion (>90%), suffer from
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that can achieve the high durability and performance required for hydrogen energy applications. In this project, we develop blend ionomers with controlled gas permeability and catalyst layers incorporating
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the border counties of Ireland. Funded through the PEACEPLUS Programme and led by Atlantic Technological University in partnership with Ulster University, Queen’s University Belfast and Catalyst
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candidates for a Postdoctoral fellow position. This position is available to individuals with research experience working with catalysts, including zeolites and supported metal nanoparticles, as well as in