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of mole activity and soil health and biodiversity, collecting data on visitor perceptions of moles and their management, and analysing findings using statistical modelling approaches. The role provides
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these manipulations have on gene expression. This full-time role would be ideal for someone with a strong background in molecular biology in either model organisms or parasites and an interest in epigenetics
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About The University Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right balance of excellent teaching and research, matched by an enviable quality of life. Our stunning...
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should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine
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-mechanical model of microwave circuits Electromagnetic modeling of microwave circuits CAD design of microwave circuits Room temperature and cryogenic measurement setups for microwave circuits Execution and
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models, equipment or techniques for advanced design and characterisation. Skills Essential: C1 Research or Industrial creativity and strong cross-discipline collaborative ability C2 Excellent communication
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, biochemistry, cell-based and model organism. You will be expected to manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects
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, advanced imaging techniques and numerical modelling. About the role A successful candidate will be working on the EPSRC funded project New perspectives in photocatalysis and near-surface chemistry: catalysis
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are carried by electrons) and biological systems (where signals are carried by ions). This research will cover theoretical models at many scales including electron dynamics, soft-matter physics, materials
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, develop risk models, and help generate new hypotheses to inform future therapeutic strategies. The role offers a unique opportunity to bridge data-driven insight with translational cardiovascular research