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Vision and Edge Computing'. PhD candidates involved in this project will be trained in the emerging field of smart infrastructure, which is critical for Australian society in the coming decade
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This project aims to improve rare earth element recovery by designing peptide-polymer composites inspired by lanthanide-binding proteins using machine learning and computational chemistry. Rare
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, Machine Learning, and Big Data Analysis To Apply We encourage all candidates who meet the selection criteria to apply for this role. Please submit: A current CV A cover letter specifying whether you are
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Multi-modal Machine Learning—including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers the opportunity to explore human
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Application dates Applications close30 May 2025 What you'll receive You'll receive a stipend of $41,600 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration
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life with a strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people
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technologies, social structures, and networks. Effective C2 organisational systems are critical not only to military settings, but also to the operation of many civil domains, including emergency response
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peer-reviewed publications, while providing senior-level expertise to support and mentor internal teams. A vital responsibility includes guiding emerging science-practitioners (Clinical Psychology PhD
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. The underwater acoustic communication technologies will help. The school is focusing on research in AI/machine learning and signal processing which are the research areas in this proposed project. We have
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the toxicity of degradation by-products. To be successful in this role, you will hold (or be near completion of) a PhD in chemistry, materials science, chemical engineering, or a related field. You will have