17 postdoc-in-thermal-network-of-the-physical-building Fellowship research jobs at University of Adelaide in Australia
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fundamental and demand-driven research on modelling and analysis of complex social networks. This line of research is broadly focused on modelling, analysis and estimation of complex network models in
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to an exciting research project on social network analysis and online influence. This position will collaborate with industry partners and academics within the Adelaide Data Science Centre. To be successful you
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team developing novel deep learning approaches with real-world impact in the space domain. This is an exciting opportunity for a motivated researcher to build on a strong academic publication record
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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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: Safe AI in the Real world, working on foundational reasoning for tool use and physical interactions. Theme 3: Diverse AI, working on AI systems for safety and diversity. Theme 4: AI that can explain its
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the supervision of students working on research projects. To be successful you will need: A doctoral qualification in radiation-based physics, radiochemistry, medical radiations or related subjects. Advanced skills
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. This role will focus on designing, building, and applying surveillance tools to enhance the detection of illicit environmental activities online. The successful candidate will be appointed to a two-year fixed
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more about Adelaide University HERE and more information will be provided throughout the recruitment process. Enjoy an outstanding career environment We offer a uniquely rewarding workplace. The size
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teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Enjoy an outstanding career environment We offer a uniquely rewarding
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government and industries in South Australia, and overseeing Centre performance. The appointee will also be supported to establish and build a dynamic research program in machine learning or artificial