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the academic promotions process. About You You will have an emerging record in circuit-QED quantum computing (or relevant), demonstrating an increasing recognition for research platform impact and an interest in
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the reliability and validity of novel approaches to data collection in the alcohol research field. Manage research project ethics and recruitment processes, liaise with key partners to develop innovative approaches
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skills in conducting data linkage analysis such as survival analysis and regression analyses. Experience in working with computer-based data acquisition and analysis systems. Ability to develop
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contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, explore our Candidate Resource Hub .
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
considered for the position. Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer
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, plant, livestock, and atmosphere processes. In this role, you will support the development and delivery of predictions of wood products, carbon and water use for the Australian forest plantation sector
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on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in the discipline area (which can include
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in human-research related fields, specifically using some of the sensors involved in the project (ultrasound, EMG, motion capture, force), and the ability to perform basic data processing and analysis
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throughout the recruitment process. Your faculty's broader role The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub of cutting-edge teaching and research. Many of its academic staff
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, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational