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The research investigates potential assessment approaches for determining the age- and size structure of analytically assessed and data-limited stocks. This involves exploring indicators, and approaches for defining threshold values, and integration of
Analysing of hyperlocal datasets, including Google Air View metadata and DPD dataset using a range of quantitative methodologies as required; Coordinate the preparation and publication of reports and information; Conducting evidence reviews.
You will be responsible for product development in the area of cloud and lightning detection, cloud microphysical properties, cloud analysis and other atmospheric products derived from visible and infrared imagery (e.g. water vapour and precipitation),
Your research will focus on restoration-relevant themes, such as wildlife responses to anthropogenic change, the effectiveness of conservation interventions, and the contribution of wildlife to biodiversity recovery and nature restoration