15 cyber-physical-systems Fellowship positions at University of Adelaide in Australia
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social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Enjoy
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fundamental and demand-driven research on modelling and analysis of complex social networks. This line of research is broadly focused on modelling, analysis and estimation of complex network models in
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, Physics, Chemistry and Earth Sciences, Agriculture, Food and Wine and Animal and Veterinary Science. The Faculty of SET is an innovative and agile working environment that champions excellence, diversity
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Centre for Epigenetics is seeking a motivated and detail-oriented Grant Funded Researcher to join our dynamic team. We are seeking a motivated and detail-oriented Research Officer to join the
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% superannuation applies. Fixed term, full time position available for 12 months. JBI at the University of Adelaide is seeking a qualified candidate for a fixed-term, full-time position available for 12 months as a
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The University of Adelaide is seeking to appoint an academic research leader of international standing to join the Australian Institute for Machine Learning (AIML) as a Professorial Research Fellow
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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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will need: A PhD or equivalent in stochastic modelling, data science, network analysis, statistics, or related discipline Is eligible to apply for an Australian Government security clearance. Research
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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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: Safe AI in the Real world, working on foundational reasoning for tool use and physical interactions. Theme 3: Diverse AI, working on AI systems for safety and diversity. Theme 4: AI that can explain its