34 postdoc-in-system-identification research jobs at University of Adelaide in Australia
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an employer contribution of 17% superannuation applies. Fixed term, 3 year full time position The Tectonics and Earth Systems Group, led by Professor Collins, is seeking a motivated and talented Postdoctoral
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. This position is for a materials scientist to work on the design and developing of materials for energy storage applications. Work includes designing and synthesizing high-performance electrode materials and
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networks and/or probabilistic graphical models; computer vision such as re-identification and/or tracking. Good publication record in Q1 machine learning and/or computer vision conferences and/or Q1 medical
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or knowledge of invertebrates within southern Australian agricultural systems Experience with molecular methods for species identification and/or population genetics. Knowledge of statistical analysis, data
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contribution of 17% superannuation applies. Fixed term position for 24 Months. Postdoc opportunity - Open for Applications Until Filled. We are seeking a dynamic and motivated Postdoctoral Fellow in Ecological
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contribution of 17% superannuation applies. Full-time, fixed term position for 13 months. We are seeking a Postdoctoral Research Fellow (Level B) to join the School of Computer and Mathematical Sciences
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% superannuation applies. Fixed term position for 2 years with potential for extension The BetterStart Group is seeking a Lead – BEBOLD Data Integration Projects and Partnerships. The role is focused on technical
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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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Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute to world-leading research projects at the Centre for Augmented Reasoning
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learning research and development, particularly with a specialisation in such areas as: digital forensics, computer vision, biometrics (face or voice recognition, etc.) and natural language processing