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qualitative methods. Expertise about social media and hosted distribution services such as YouTube (specifically from a media studies perspective); knowledge about non-Australian media markets. Proven scholarly
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
uncertainty for both in-distribution and out-of-distribution data. The Person We are seeking a highly motivated and enthusiastic researcher with an interest and capacity to develop and investigate models
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research on designing mobile energy hubs, energy systems integration, resilience analysis, and developing digital twin models and AI-enabled algorithms. You will conduct lab and field tests, analyse data
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implement machine learning algorithms for complex data analysis. Utilise advanced programming skills (Python, MATLAB, C) and image processing libraries to develop computational solutions. Publish research
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the Postdoctoral Fellow is subject to Spanish tax legislation). 4,000 EUR relocation for employment stipend to cover costs associated with taking up employment (flights, visa, insurance, etc.), to be distributed
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with taking up employment (flights, visa, insurance, etc.), to be distributed monthly as a top-up to the gross salary. 9,000 EUR relocation for secondment stipend to cover compulsory project-related
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costs associated with taking up employment (flights, visa, insurance, etc.), to be distributed monthly as a top-up to the gross salary. 9,000 EUR relocation for secondment stipend to cover compulsory
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, visa, insurance, etc.), to be distributed monthly as a top-up to the gross salary. 9,000 EUR relocation for secondment stipend to cover compulsory project-related travel and accommodation costs (flights
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quantum engineering, quantum computing, and/or quantum information sciences A deep understanding of quantum algorithms and/or experience with quantum hardware will also be beneficial. A passion for
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multivariate compound extreme rainfall events associated with major stakeholder impacts. Quantify the historical and projected future distribution of compounding extreme rainfall events. Investigate the physical