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combatting wildlife trafficking and environmental harm. To be successful you will need: PhD in a relevant discipline such as computer science, data science, digital forensics, cyber security or a related field
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research community. Selection Criteria (Level B) Essential A PhD in Biometry, Statistics, or related field. Proven skills in the application of biometry/statistics to plant phenotyping datasets, including
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contribution of 17% superannuation applies. Fixed-term, full-time position available for 2 years. We are seeking an ARC Grant Funded Researcher to focus on the computation of carbon based materials for clean
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. Selection Criteria Level A 1. A PhD in Remote Sensing, Plant phenotyping, Computer Vision, Machine Learning, or a related field. 2. Strong experience in image processing and computer vision, particularly
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under farming systems including herbicide resistance and changes in emergence patterns. This role is ideal for a candidate with a PhD in Weed Science, Plant Genetics, or a related discipline, who is
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specific methodology and tackle experimental challenges creatively. To be successful you will need: Strong computing skills in R software and demonstrated experience in quantitative analyses, and model
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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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and rural health staff informatics, coordinate the writing of ethical applications and reports, and contribute to writing publications and external grants. To be successful you will need: A PhD in
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of a PhD in health or medical sciences and/or equivalent qualifications plus experience in conducting qualitative health research. Demonstrated experience in collecting qualitative interview/ focus group
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. To be successful you will need: A PhD (or equivalent higher degree) awarded within the last (8) years, or equivalent research experience in a relevant area. Success in obtaining competitive research