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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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directly to its key final outputs. Responsibilities will focus on conducting new academic and policy literature reviews and synthesising these findings with existing project data. You will then co-author
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equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills
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Research Institute’s ESRC and EPSRC. The pathway is seeking to develop expertise in researching human behaviour, combining advanced quantitative and digital analytical methods, applied to data generated
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datasets in line with FAIR data standards, and developing reproducible computational workflows. The role will also involve preparing datasets and documentation for open publication, maintaining project
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relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and
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sensible impacts towards a more sustainable environment and generate state-of-the-art knowledge needed for the next generation of environmental scientists. For further information on the project, we will be
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offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary
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offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary
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22 Oct 2025 Job Information Organisation/Company Swansea University Department Central Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country