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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 11 days ago
: PD & PEWER Level B Research Fellow_SOE.pdf Work with world-leading researchers in robotics, computer vision, and systems and control Contribute to impactful research on cutting-edge event-based sensing
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Part time (0.60 FTE) fixed term until 31 December 2028 Postdoctoral Research Fellow Role supporting the NHMRC-funded program “Optimising Care for Older Adults in Hospital: Innovative Education
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HDR and honours students and fostering a culture of research excellence. To be successful, you’ll have: PhD (or equivalent) in a relevant discipline, with an emerging research profile demonstrated
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of these publications and your part in these. Selection Criteria: Essential PHD in Computer Science, Informatics, Data Science, Statistics, or a closely related area. Substantial research experience in applied Artificial
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research teams, in particular post-doctoral staff working on water-related research funded by the AuSpire program as well as undertake supervision of research students. Extend the research performance and
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PhD in a relevant social science or health discipline, with a strong academic background aligned to the responsibilities of the role. You bring demonstrated expertise in conversation analysis, supported
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promotions process. About You PhD in a relevant discipline (e.g., environmental science, hydrology, environmental engineering, pollutant modelling, or environmental risk assessment). Demonstrated expertise in
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policy outputs Adhere to AIATSIS Code of Ethics and Indigenous Cultural and Intellectual Property protocols About You: A PhD in a relevant discipline (e.g. geography, planning, political economy, law
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engagement, and a positive, inclusive workplace culture aligned with the University’s strategic priorities. About you Completed PhD in Aboriginal and Torres Strait Islander Health, Mental Health, Social and
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of these publications and your part in these. Selection Criteria: Essential PhD in Computer Science, Informatics, Data Science, Statistics, or a closely related area. Substantial research experience in applied Artificial