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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 17 days ago
. This position is a fixed term appointment for a period of 2 years. Research Fellow – Electrocatalysis for Hydrogen Production Material Scientist or Chemical/Electrical Engineer - Catalysis Open to PhDs in
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of Australia’s nuclear technology sector. For more information please visit - https://www.unsw.edu.au/research/nuclear-innovation-centre Skills & Experience A PhD in a related discipline, and/or relevant work
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higher education programs across all STEM disciplines at the Bachelor, Master and PhD levels, and ensure our students experience an education that is work-aligned and life-changing. The College is renowned
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. We offer higher education programs across all STEM disciplines at the Bachelor, Master and PhD levels, and ensure our students experience an education that is work-aligned and life-changing
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, health and wellbeing at work, dignity and privacy in the workplace, and the protection of labour standards. We seek two PhD-qualified (or equivalent) researchers with knowledge of, or experience with
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Fellow will have the opportunity to lead statistical analyses of large-scale clinical registry and administrative datasets. Some key skills required: A PhD in health data science, and/or relevant work
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Launch your career at Australia’s National Scientific & Industrial Research Organisation Great opportunity for an early career researcher with a PhD in physics, physical sciences, or engineering
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, health and wellbeing at work, dignity and privacy in the workplace, and the protection of labour standards. We seek two PhD-qualified (or equivalent) researchers with knowledge of, or experience with
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and research. You will have: Completion or near completion of a PhD or postgraduate qualification in Indigenous Health or a related field, with relevant experience considered. A passion for community
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
Integrated Planning & Learning and Reinforcement Learning in non-deterministic and partially-observed scenarios. The methods will be evaluated on physical robots. The ideal candidate would have: A PhD (or