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, privacy-preserving technologies, adversarial machine learning, explainable AI, or secure software engineering. Collaborate and Translate: Work within a supportive team, present findings at national and
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towards transfer of knowledge, technology and practices to research end users through translation, including commercialisation of UQ intellectual property. Develop a coherent research program and an
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the greatest challenges through innovative science and technology. Many of our iconic innovations were once considered impossible until someone, just like you, joined us and took on the challenge. Visit CSIRO.au
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, stakeholder engagement and research outputs. We are seeking someone with a doctoral qualification in data science, computer science, biomedical engineering, statistics or a related quantitative discipline, or
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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position through to March 2027 Base salary will be in
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findings at major conferences and workshops Contribute to the supervision and mentoring of PhD and Honours students About you You will hold a PhD in physics, materials science, engineering or a related
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platform data, and contributing to high-quality academic and policy outputs. The role provides an opportunity to work at the intersection of economics, agricultural markets and digital technology, with
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Innovation Centre (UNIC) SocioTechnical nuclear Systems research program. You will work in a close-knit team of experts from UNSW Law, Engineering and Canberra faculties, as well with as key international
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of research, technology and industry, you will lead the development of innovative approaches using multi-sensor lidar, imaging analytics and geospatial data to improve forest inventory, monitoring and decision
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research infrastructure. Apply advanced statistical, machine learning and data engineering methodologies to large-scale, longitudinal datasets, contributing to innovative melanoma and skin cancer research