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of this dissipation remain poorly understood. In this role, you will investigate excavation methods that minimise energy losses. Your work will involve laboratory experiments using a programmable robotic arm to drive
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, you will investigate excavation methods that minimise energy losses. Your work will involve laboratory experiments using a programmable robotic arm to drive 3D-printed buckets into granular packings
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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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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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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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researchers and PhDs on optical low-adhesion coatings. Within the team, you will be given the opportunity to expand your research skills and experience and to grow in your career as a mentee and a mentor, and
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and screening. There are different research projects available, depending on the skills and experience of the candidate. We are interested in applicants with a PhD, with a strong research track record
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the mentoring of the PhD students that are part of the Laureate program. About you a PhD in creative music practice and music technology, preferably with a research focus on themes of ecology, interspecies