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leads in research areas including quantum and frequency metrology, quantum gravity and field, quantum information and computation, spintronics and magnetisation dynamics, terahertz and optical technology
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PRIMARY DETAIL • Exceptional development opportunity working with world class researchers • Build your academic networks and access cutting-edge facilities and technology • Full-time, 2 year fixed
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School of Electrical Engineering and Computer Science – Faculty of Engineering Part-time (40%), fixed-term position for up to 12 months Base salary will be in the range $114,824.05 - $136,048.72
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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transition away from fossil fuels. For more information, please see the following link: https://www.unsw.edu.au/engineering/our-schools/photovoltaic-and-renewable-energy-engineering Skills & Experience: A PhD
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. Responsibilities will include contributing to student mentorship at undergraduate and master's levels and co-supervision at MPhil and PhD levels. The Research Fellow will participate in industry and open-source
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Biomolecular Engineering ) and Professor Gregor Verbic (School of Electrical and Computer Engineering ), in partnership with industry collaborators. Your key responsibilities will be to: develop, implement, and
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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2 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming