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energy system . Your focus will be to explore (computationally) the most promising processes to form hydrocarbon blends from hydrogen and CO2. You will develop models of those processes and use them
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
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models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics-based models that optimise and control pharmaceutical
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The University of Nottingham are seeking to recruit a highly motivated and enthusiastic computational chemist for a Postdoctoral Research Associate/Fellow post within the research group of Professor Elena Besley to work on the “Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D...
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-based models that optimise and control pharmaceutical manufacturing processes effectively. Your main responsibility is to develop and enhance discrete element models (DEM), integrating physics-based
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is part of a Singapore MOE funded research project hosted by ASE. The Research Fellow will help advance research in Earth system modeling and understand interactions among land, water, carbon, energy
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and reuse. The postholder will develop advanced Multiphysics models of the Electric Arc Furnace (EAF) to support sustainable steelmaking, refining modelling methods and generating insights that inform
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Fellow. You will contribute both independently and as part of a team to collaborative research and development in sustainable energy modelling. In this role, you will play a key part in advancing the net
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to candidates of all nationalities. Our colleague Pedro Duarte wants to hear from potential candidates interested in joining his team to work with coupled physical-biochemical models
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Research Fellow in Earth System Modelling Salary: Grade 7 (£41,064 – £48,822 p.a. depending on experience) Location: Met Office, Exeter (with scope for hybrid working) Would you like to join a team