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experiments and take an active role in advancing the statistical methods employed at the Plant Accelerator® . The appointed individual will support plant scientists using our services to address a diverse range
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PhD in Economics is a desirable criterion, we will consider candidates currently completing a PhD in Economics or a related field (such as Statistics or Applied Data Science) and who have a strong
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(including, but not limited to, protein extraction, Western blot, immunohistochemistry/immunofluorescence, QuPath based image analysis). Perform statistical analysis of research data and interpretation of main
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statistical / data science languages such as R or Python Experience working with geographic information systems Desirable Characteristics: Experience with building spatially explicit models, including
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
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. Interest in leveraging AI/ML methodologies for data-driven solutions. 4. Enthusiasm for statistical modelling, including unsupervised, supervised, and semi-supervised learning. Level B 1. A PhD in Remote
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statistical competence in quantitative methods. They will have a demonstrated ability to work independently and to appropriately manage sensitive and confidential information. Responsibilities may include