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that you reference the application criteria in the application statement when you apply. Essential criteria A PhD in Sociology, Media, Cultural Studies, or other social science fields encompassing digital
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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a 2:1 honours degree or an MSc with merit/distinction (or equivalent) in Chemistry, Physics or Materials Science. Experience in computational modelling (quantum chemistry or force fields) is essential
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Overview This post is funded by the Quantum Computing Hub (QCI3) supported by the Engineering and Physical Sciences Research Council (EPSRC). The QCi3 Hub is part of Phase III of the UK’s Quantum
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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, transcriptomics arrays and serological assays will be exploited to investigate biomarkers in cultured cells (primary supervisor). Field work at the Malawi Liverpool Wellcome Trust Clinical Research Programme will
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facing the UK’s programme of remediation and restoration of the Sellafield site, expected to be complete in the next century. The PUMaS hub will support ~20 PhD students along with research staff, creating
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of landscape ecology and management. Communicate research findings/outcomes to the scientific community through publication in leading academic journals, and at conferences. Use a range of modelling and
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librarianship, data science, or another relevant subject OR experience of working on research projects OR other relevant experience Desirable Application/interview Knowledge of quantitative and/or qualitative and
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criteria in the application statement when you apply. Essential criteria Current student or graduate in Computer Science, Software Engineering or a related discipline (assessed at: application/interview