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Overview: Drive experimental research in next-generation propulsion, focusing on rotating detonation engines and high-enthalpy systems for future high-speed flight Work in a multidisciplinary team
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
, experimental design, image analytics, machine learning, transcriptomics, or molecular phenotyping. Experience in the biological or agricultural sciences. For more information about the position please contact Dr
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, and experimentally validating novel material architectures using advanced nanofabrication and characterization techniques, translating fundamental research into functional prototypes. The successful
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of cellular response mechanisms, and close collaboration with experimental researchers to uncover pathways regulating stem cell function and fate. The successful candidate will be supported to build
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of cellular response mechanisms, and close collaboration with experimental researchers to uncover pathways regulating stem cell function and fate. The successful candidate will be supported to build
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designing, fabricating, and experimentally validating novel material architectures using advanced nanofabrication and characterization techniques, translating fundamental research into functional prototypes
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experimentally validating novel material architectures using advanced nanofabrication and characterization techniques, translating fundamental research into functional prototypes. The successful candidate will
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sensing systems for underwater platforms. This role combines simulation, experimental investigation, and data integration to inform prototype design and deliver impactful research outcomes within a
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
Fellow.pdf Position Overview The key role is to perform original cutting-edge research in the field of experimental quantum nanophotonics with optical metasurfaces. The project work will involve both
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autonomous systems. Strong programming and experimental skills, with the capacity to develop, implement, and evaluate advanced reinforcement learning methods, and to contribute to the supervision of research