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Control” (DP250101137). The Postdoctoral Research Fellow is expected to undertake research on control theory and machine learning techniques for project DP250101137. The Postdoctoral Research Fellow will
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), Power Electronics Systems Engineer Research Fellow (Level B), Smart Control Systems Engineer Join a future-focused research initiative developing the next generation of smart wind turbine blades. As part
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more about the Snow Vision Accelerator: https://www.snowmedical.org.au/vision-accelerator The successful candidate will join the Retinal Ageing and Mitochondrial Quality Control Lab, led by Dr Katharina
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Electronics Systems Engineer Research Fellow (Level B), Smart Control Systems Engineer Join a future-focused research initiative developing the next generation of smart wind turbine blades. As part of
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The successful candidate will join the Retinal Ageing and Mitochondrial Quality Control Lab, led by Dr Katharina Bell, which focuses on understanding how mitochondrial quality control and ageing contribute
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research funding applications. You will: conduct research in robotics, with a focus on mobile robot navigation and control; design, build, and test robotic systems, integrating hardware and software; develop
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microbiome innovation. This role is part of a pioneering initiative funded by Horticulture Innovation Australia, aimed at unlocking the potential of soil and plant microbiomes for disease control and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 27 days ago
&PEWER_Level B_Research Fellow_CSS_2025.pdf We invite applications to join the Control, Information, Intelligence, Communications, Automation, Decision, and Autonomy (CIICADA) Lab where we explore innovative
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Classification: Academic Level B Salary package: $118,632 - $134,507 per annum + 17% superannuation Terms: Full time, Fixed Term (up to 12 months) We invite applications to join the Control
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the School and Research Centres to deliver high-quality research aligned with the University’s strategic priorities. The role involves undertaking research and development in learning, control and optimisation