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be considered an advantage if you have experience with safety-critical systems, multi-agent autonomy, or learning-based/data-driven/robust/adaptive control under uncertainty, supported by strong
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of Medicine Department:Radiology Salary Salary:Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: A multi-year post-doctoral position for a PhD scientist with
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, aligning AI systems with complex human values, and building self-improving agents capable of autonomous learning. Our work combines cutting-edge experimentation – spanning RL, meta-learning, and robust
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What you'll receive The CSIRO Industry PhD Program (iPhD) is a four-year research training program, aimed to produce the next generation of innovation leaders with the skills to work at the
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training, and interactions among autonomous entities can lead to vulnerabilities. These concerns are amplified in decentralized AI and multi-agent systems, when multiple parties (e.g., human or agent) might
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perovskite structure (BCZT); 2) develop a drug delivery system based on PCL microspheres containing anti-inflammatory agents (dexamethasone and/or other corticosteroids, amoxicillin, ciprofloxacin); 3) design
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coordination failures reshape decarbonization pathways. Your research will combine methods from network analysis and agent-based modelling of economic systems to trace how international material and financial
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coordination failures reshape decarbonization pathways. Your research will combine methods from network analysis and agent-based modelling of economic systems to trace how international material and financial
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of new steel grades. To this end we will design agentic multi-modal models, whose components will be trained on legacy data, and which can be queried to provide a prompt-based summarization of relevant
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generation. AI-based performance assessment in early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent