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School of Electrical Engineering and Computer Science Part-time (40%), fixed-term position through to April 2028 Base salary will be in the range $137,542.79 - $158,351.30 + 17% Superannuation
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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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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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-Einstein condensates to generate quantum vortices in a flat geometry. Leveraging the group’s expertise in programmable optical tweezers and DMDs, the research aims to investigate the melting process of 2D
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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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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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communication techniques and systems: Design and develop novel signal processing algorithms and communication strategies for satellite systems, acquiring essential industry capabilities and skills. Collaborate
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Acknowledgment of Country Australia's Chief Scientist and the Office of the Chief Scientist recognise the first peoples of this nation and their ongoing cultural and spiritual connections to the lands, waters, seas, skies, and communities. We acknowledge First Nations peoples as the Traditional...
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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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) GRADE 7, £39,355 - £45,413 pa Fixed-term Ref: 095593 A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials