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making and machine learning, with real-world testing and feedback. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under
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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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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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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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/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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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
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to detail. Demonstrated ability to work independently and manage multiple deadlines. Experience working with ethics-approved human research. Familiarity with cost-benefit analysis or impact forecasting
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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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minerals and their chemical constituents, water and living organisms. Ultimately, regolith science is the study of Earth’s critical zone: research into the processes that sustain life today and in the past