10 algorithm-development-"Multiple"-"Prof"-"UNIS"-"DIFFER" Fellowship positions at University of Adelaide in Australia
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and government sectors, including Research and Development Corporations (RDCs), industry representatives, Commonwealth, State, and Territory governments, as well as research and technology organisations
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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experience in machine learning research and development, particularly with a specialisation in such areas as: digital forensics, computer vision, biometrics (face or voice recognition, etc.) and natural
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their specialty to synthesise research, develop evidence-based resources and lead research that assists with closing the evidence-to-practice gap. To be successful you will need: Level A: Tertiary qualifications in
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are on an exciting path to Adelaide University as we prepare to open our doors in January 2026. Adelaide University will combine the strengths of the University of Adelaide and the University of South Australia, and
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team developing novel deep learning approaches with real-world impact in the space domain. This is an exciting opportunity for a motivated researcher to build on a strong academic publication record
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Defence Clearance or ability to obtain one. The path to Adelaide University We are on an exciting path to Adelaide University as we prepare to open our doors in January 2026. Adelaide University will
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to conduct research in entomology applied to integrated pest management in agricultural systems of southern Australia. As part of a project funded by the Grains Research and Development Corporation (GRDC
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research in molecular genetics supporting the Grains Research and Development Corporation funded Weed Management Initiative under the supervision of Professor Christopher Preston at the University
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leading research and development of AI). The now established Responsible AI Research (RAIR) Centre will leverage AIML and CSIRO Data61s existing expertise to focus on the development of cross-cutting