202 phd-studenship-in-computer-vision-and-machine-learning positions at University of Adelaide
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, computational design, architectural engineering, or construction. In this position you will work with world-class researchers, academics, award-winning practitioners, and global thought leaders. We focus
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Wildlife Crime Research Hub as part of the ARC Industry Laureate Fellowship program, Combatting Wildlife Crime and Preventing Environmental Harm at one of Australia’s leading research institutions
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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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responders and operational risk assessment regarding skin decontamination and will build on a program of work focused on dermal exposure to chemicals. To be successful you will need: Completion of a PhD in
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candidate will bring their skill, creativity and experience in developing and delivering education materials for the Speech Pathology Program and will play a pivotal role in teaching and research/scholarship
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experience with data entry and use of databases. High level computer skills, including experience with Microsoft Office suite of products in particular, spreadsheet functions for the collection and reporting
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which to work. To be successful you will need: A PhD in Human Geography Experience in the conduct of scholarly, applied and industry collaborative research projects and consultancies. Significant teaching
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programs at the master's, and doctoral levels. You will be able to demonstrate your ability to teach into both undergraduate and postgraduate courses in the areas of business analytics and publish in
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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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need: A PhD in Molecular Biology, Cell Biology, Genetics, Biotechnology, or a related area. Expertise and interest in cancer and/or stem cell biology and associated techniques. Outstanding academic track