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conducting specific clinical development programs for RNA therapeutics that are at least TRL3 and which have an unmet clinical need with potentially viable markets in the area of infection, inflammation, and
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the development of Explainable AI Systems that can provide explanations of AI agent decisions to human users. Past work on plan explanations primarily focused on explaining the correctness and validity of plans. In
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of the development of connections in these biological neural networks and their spontaneous and stimulation-driven formation. These models will provide a framework for simulating and testing biological neural networks
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-time Duration: 4-year fixed-term appointment Remuneration: 4-year scholarship package totalling approximately $47,000 per annum tax exempt (2025 rate) A four year Project Expense and Development package
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, enabled by agentic and embodied AI. Working under the supervision of Dr Neda Mohammadi , the successful candidate will contribute to the development of new concepts, methods, and scalable systems
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development of high-throughput organoid and advanced 3D culture workflows, including hydrogel-based and air-liquid interface models. The role has a strong focus on designing, programming and optimising
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significant new initiatives. In this opportunity, you will contribute to the early development of strategic ventures by conducting research, analysing opportunities, and helping to design concepts and
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benefits Locality Allowance included Contribute to meaningful research and education that makes a real difference globally. Join a collaborative, inclusive workplace with professional development
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
supervision, publication and publicity activities, code development, and collaboration with industry, open source, and academic partners. The project goal is to develop and demonstrate a stochastic design
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the evolution of massive binary stars into compact binaries as sources of gravitational-waves and astrophysical inference on gravitational-wave observations. My research group on massive binary evolution -- also