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qualitative research methods and data analytical techniques (e.g., NVivo, thematic coding) Experience working with seldom heard communities and/or sensitive research topics Strong communication skills and the
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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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waters. This limitation prevents effective early warning, targeted sampling and timely mitigation of pollution events. Furthermore, while real time telemetry from water companies provides valuable data
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change brings increasingly severe floods and droughts. Robust evidence is needed to ensure the resilience of flood defences and maintain ecological health. For further information on the project, we will
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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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. Reliable, high-resolution rainfall data is urgently needed to improve flood prediction, climate adaptation, and infrastructure resilience. This project will tackle that challenge by developing a new blended
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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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available for students progressing to one of the following postgraduate programmes: · MSc Accounting and Finance · MSc Business Analytics · MSc Finance and Investment · MSc
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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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, vaccines, and devices. As a Research Assistant in Health Data Sciences in the group you will be supporting analyses of real-world health care data by writing analytic study code and contributing to our open