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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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to the creation of knowledge in the field of early cognitive and social-emotional development, by undertaking a specified range of activities within an established research programme and/or specific research
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Github • Using a range of computer systems to run fluid flow simulations and optimisation algorithms, including High Performance Computing architectures • Assist and mentor students and research group
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March 2026 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project
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experiments Experience in scientific computing relevant to an online environment Proven track record of research in experimental particle physics High level analytical capability Ability to communicate complex
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innovative modelling methodologies, generate high quality computational and analytical insights, and translate these findings into improved process understanding and industrially relevant solutions. The role
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) in computational materials chemistry/physics, or related relevant area. The candidate must have demonstrable experience working with high-performance computing infrastructure. The candidate must have a
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future of formulated polymers. We are seeking a Research Fellow in Computational Chemistry and AI/Machine Learning to advance the state of the art in understanding the degradation and biodegradation
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production processes and identify effective recycling routes for each, drawing on those already developed by the ReLiB team or within the literature. You will perform LCA/TEA calculations on the scrap
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development. The Faraday Institution vision is to bring together scientists and industry partners on research projects to reduce battery cost, weight, and volume; to improve performance and reliability