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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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field, or substantial relevant work experience Strong analytical and technical skills, including data analysis and effective use of technical methods Excellent organizational skills with the ability
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requires the ability to apply appropriate technical methods, manage competing priorities and support research projects within agreed timeframes. An understanding of confidentiality and information handling
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Remuneration: Academic Roles: $118,974 - $141,283 pa Level B (plus 17% employer superannuation) Program Coordinator - $106,789 - $117,128 pa HEW Level 07 (plus 17% employer superannuation) Amplify your impact at
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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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of Physics and Astronomy. This position offers an exceptional opportunity to conduct high quality research in the development and application of new transmission electron microscopy methods (STEM and/or TEM
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Postdoctoral Research Fellow, you’ll play a key role in the discovery of next-generation photovoltaic materials using a state-of-the-art Chemspeed Technologies automation platform, enhanced by AI-guided methods
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Anomaly detection methods address the need for automatic detection of unusual events with applications in cybersecurity. This project aims to address the efficacy of existing models when applied
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anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural