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University of Adelaide’s Australian Institute for Machine Learning (AIML) are actively interested in advancing leading research and development of AI). The now established Responsible AI Research (RAIR) Centre
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exciting Australian Research Council Discovery Project, “Resolving the value of information paradox for ecological management.” This is a unique opportunity to develop your expertise and grow your emerging
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University’s research performance expectations for Level A. Contribute to the development and maintenance of productive and effective links inside the University and locally and nationally with the discipline
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Simulation group to apply classical Molecular Dynamics and Machine Learning approaches for development of a new class of hybrid polyphenol-lipid nanoparticles with tuneable internal structure and exploration
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project with real clinical potential The Opportunity Are you a highly motivated and technically proficient researcher with expertise in electrochemical sensor development and biomedical engineering? We
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team to drive innovation in plant breeding. Key responsibilities will include: Research: Conduct and publish high-quality research, develop a coherent research program, and actively pursue competitive
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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
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and develop an optimal (efficient, cost effective, easy to use) technological operational method for detecting and estimating wallaby populations and dynamics. What you’ll do: Develop a technological
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research teams Working under broad direction, the Research Fellow will help drive research outcomes and continue developing their expertise in an internationally recognised academic environment. About Monash
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stability assessments and control development. You will: contribute to delivering the CfNETR project(s) in smart power system engineering; develop literature reviews and maintain data and knowledge