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extraordinary ideas - and the people who discover them The Opportunity We are seeking a highly motivated Research Fellow to join the Faculty of Science and School of Physics and Astronomy to develop methods
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience
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. The QDA is focused on advancing quantum technologies to support decarbonisation and clean energy goals. The successful candidate will contribute to the development and implementation of precision atomic
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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
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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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, Step 6 ($113,911 + 17% Superannuation). Location: Kensington, NSW Why The Role Matters: The Post-Doctoral Fellow is expected to contribute towards the research effort of UNSW and to develop
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necessary for human development. Our vision is to reduce poverty, improve livelihoods, and enhance sustainable development. The Senior Research Fellows will leverage their established track records and
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reports to Professor Kaarin Anstey and has no direct reports. Specific responsibilities for this role include: Contribute independently or as a team member to developing data assets, data sharing systems