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About the project: Machine learning accelerated Inverse Design of Graphene Nanoribbons for Green Energy Supervisor: Dr Sara Sangtarash, University of Warwick Thermoelectric materials convert heat
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About the project: Supervisor: Professor Nicholas Hine, University of Warwick This project uses cutting-edge computational and machine learning methods to accelerate catalyst discovery for fuel cell
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past, present and future events to constrain extreme value distributions spanning hundreds to thousands of years. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys
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would be beneficial, though not essential. Most importantly, we are looking for motivated individuals who are enthusiastic about their research and able to work effectively within an interdisciplinary