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), developing a model that allows users to test the impacts of net-zero policies on diverse UK households. Use clustering analysis and other statistical techniques to create new consumer archetypes that highlight
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Supervise students on research-related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake
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set-up, and data collection and analysis. - Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). - Have experience
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or joint research, with assistance of a mentor if required and contribute to writing bids for funding Promote equality and values diversity, acting as a role model and fostering an inclusive working culture
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The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow to undertake a project to develop efficient theoretical, numerical and experimental
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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to design and implement new experimental methods. High-level expertise in the required experiment or modelling methods. Ability to initiate collaboration research in multidisciplinary team. Oversee and report
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work that underpins the scientific research of the collaboration. Research Title: Process Modeling using Physically Informed Machine Learning The work will entail: § Designing and training physics