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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning
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synthetic biology services for agricultural crops, as well as for synthetic biology projects in ‘model’ plants. It provides infrastructure and expertise for research providers, government and industry
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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between project workstreams—agronomy, modelling and economics. The successful candidate will undertake both desktop and field activities. Key activities include: Data management, processing, analysis and
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have a PhD in Computer Science (or be able to demonstrate equivalent research experience in modelling and simulation, software engineering research) and possess a deep and demonstrable knowledge
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in the Tumour Inflammation and Immunotherapy Program at SAiGENCI combine molecular biological and genetic approaches, together with human translational studies, to identify the mechanisms by which
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models to enhance the detection of online narratives. The successful candidate will be appointed to a two-year fixed-term, research-intensive position supported by ASCA’s EDT program on synthetic media and
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Synthetic Biology Australia (PSBA) network as we launch the Adelaide node, establishing plant synthetic biology services across agricultural crops and model plant systems. Join us as our Stewardship Officer
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methods for provable network security. The School of Computer and Mathematical Sciences is recruiting a research fellow to work on next generation network security technologies. Join a world-class research