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multi-agent decision making in contested and dynamic environments, involving extensively applied work built on a strong mathematical foundation at the intersection of data science, data fusion, decision
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strategies influence profitability (e.g. gross margin) and sustainability (e.g. GHG emissions). You will lead the analysis and interpretation of data arising from the network of trials that will provide
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on Sub-study 3 - the analysis and evaluation phase. These are casual roles in which the work hours will vary from week to week depending on participant availability and project demands. We anticipate
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(completed within the last 5 years) Demonstrated experience in educational research methodologies (quantitative, qualitative, or mixed methods). This includes skills relating to: Statistical analysis
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academic and 60 FTE research staff across five academic Disciplines (Applied Chemistry and Environmental Sciences; Biosciences and Food Technology; Geospatial Sciences, Mathematical Sciences; Physics
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of Animal and Veterinary Bioscience. This role will contribute to advancing research through the design, conduct, and analysis of in vitro testing and intensive animal trials, as well as the preparation
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/sequence, time of sowing and nitrogen management strategies influence profitability (e.g. gross margin) and sustainability (e.g. GHG emissions). You will contribute to the analysis and interpretation of data
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Scholarship programs will demonstrate: • A track record of achievement and impact • An appetite for tackling and solving complex problems • An ability to engage with and influence others
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imaging; classical imaging; multiphoton imaging; the development and application of numerical methods of deep learning or multivariate analysis. Interdisciplinary experience with projects that overlap
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. Experience in one of more of: advanced optical imaging; classical imaging; multiphoton imaging; the development and application of numerical methods of deep learning or multivariate analysis. Interdisciplinary