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of creating robust radio frequency fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding
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fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding track record in conducting research. You
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Infrastructure? No Offer Description Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining
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and/or instrument control code, leveraging advances in machine learning and real-time control fabricate robust instrumentation or photonic components for use at 8m-class and future ELT-class
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Negative Vetting Level 1. Desirable Role Specific Skills, Knowledge and Experience Demonstrated ability to perform physical model scale experiments to investigate marine vehicle hydrodynamics. Salary details
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Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining CubeSat technology Base
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engineering faculties worldwide. For more information, visit the Faculty website: https://www.unsw.edu.au/engineering/about-us Skills & Experience: A PhD in Photovoltaic Engineering, Materials Engineering
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by integrating knowledge of the ocean, atmosphere, cryosphere and ecosystems, and their interplay. ACEAS 2026-2028 will focus on understanding the Denman region and its role in the broader Antarctic
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-reviewed publications. Engage with community stakeholders and project partners to support knowledge translation and practical conservation outcomes. Support project reporting and contribute to program
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conduct research independently and collaboratively as part of a research team, contributing to discipline knowledge through research outputs, presentations and engagement with academic and professional