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techniques by a senior experimental scientist and then work independently within a dynamic team. Your high-level duties will include: Working alongside a senior experimental scientist to learn and develop
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. Lead quantitative research activities, including survey and experimental design, statistical modelling, and data analysis. Contribute to the design and evaluation of communication and mass-media
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
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(preferred) or Part-time (0.9 FTE) may be considered – CDSCC offers a 9-day fortnight (RDO) working model to staff. We may also consider other options for part-time and flexible work arrangements based
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understanding and experience of governance and risk management within the ‘three lines of defence/accountability’ model. Experience advising senior leadership on risk-related matters. Practical experience in
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to support informed decision-making. This role focuses on gathering and analysing financial data to produce accurate reports and models, monitoring financial performance, identifying trends, and recommending