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new machine learning methods to integrate remote sensing of farm habitats with ground level scoring of farm biodiversity value but many issues still need to be considered. This Post Doc presents
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characterisation of air- and moisture-sensitive compounds using state-of-the-art methods including 1D and 2D NMR spectroscopy (1H, 13C, hetero-nuclei), single crystal X-ray diffraction analysis, IR spectroscopy and
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of realist methods is an advantage but training in specific methodologies will be provided as required. Further opportunities for professional development will be provided by the UCC Post-Doctoral Development
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of extremes, examine causal chains linking meteorological and hydrological extremes and their impacts, and develop novel storyline based methods to enhance knowledge and communication for adapting to compound
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, provide a letter from the appropriate graduate studies office confirming that the student has completed the programme including all the examination requirements and is just awaiting the formal graduation
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professions’ education, sustainability education, health services research, public health, psychology, sociology, etc. Experience of realist methods is an advantage but training in specific methodologies will
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fieldwork, community engagement tracking, workshop coordination, social action research, “collaborative speculation” or other creativity-based methods. The appointee will work directly with PI’s at UCC and
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coordination, social action research, “collaborative speculation” or other creativity-based methods. The appointee will work directly with PI’s at UCC and will be expected to engage with a range of national and
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attribution assessments of change in observed timeseries of extremes, examine causal chains linking meteorological and hydrological extremes and their impacts, and develop novel storyline based methods
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impacts, and develop novel storyline based methods to enhance knowledge and communication for adapting to compound extreme events that have cascading impacts across sectors in Ireland. A key strength of the