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methods within in-house grid modelling platform to inform the design of Australia's carbon-neutral energy value chain, including emerging renewable fuels markets. The successful candidate will contribute
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learning at scale. Research directions include designing algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating
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and are looking for a Postdoctoral Research Associate AI-Driven Sensing and Control for Megaproject Systems who has: a PhD or near-completed PhD in one of the following fields (or closely related
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within the classification level as required. About you PhD in a relevant field - biomaterials, bioengineering, tissue engineering and regenerative medicine demonstrated proficiency in biomaterials
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and Ar-Ar geochronology, fission-track and (U-Th-Sm)/He thermochronology, vitrinite reflectance, and thermal history models. New relational data models data for incorporating methods such as include
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under broad supervision, the Research Assistant is responsible for selecting appropriate work methods, planning, and prioritizing tasks to ensure smooth project execution. They handle routine matters
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methods, planning, and prioritizing tasks to ensure smooth project execution. They handle routine matters independently and collaborate with others to address more complex challenges, ensuring that project
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Researcher in FPGA-based AI Hardware Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion
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compliance with institutional and regulatory guidelines (e.g., OGTR, ethics) apply and manage human and animal ethics approvals/modifications, and GMO approvals. About you You will have: PhD (or equivalent) in
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mental health research projects and programs as needed, under the direction of senior researchers Assist in the development of digital tools and supports, including using programs and coding methods (e.g