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inclusive research environment • Opportunities for high-impact publications and leadership development How to Apply: Submit applications via the University of Adelaide careers portal: 517174
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term, appointment to commence as soon as possible. The specific topic area of this post is relating to the development of optical coherence tomography (OCT) and fibre-based optical imaging technologies
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more about the Australian Centre for Robotics (ACFR), click here . In this role you will: work closely with a team of academics and researchers as part of world-leading research program develop new
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University of Adelaide’s Australian Institute for Machine Learning (AIML) are actively interested in advancing leading research and development of AI). The now established Responsible AI Research (RAIR) Centre
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
university Advance transdisciplinary scholarship through research, collaboration and high-impact practice Engage with regional communities in the development of community-led flood intelligence networks
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involved in the design, execution and analysis of studies investigating the mechanisms and potential treatment of motor neuron disease. You will perform and oversee work relating to the development and use
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leading research and development of AI). The now established Responsible AI Research (RAIR) Centre will leverage AIML and CSIRO Data61s existing expertise to focus on the development of cross-cutting
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Simulation group to apply classical Molecular Dynamics and Machine Learning approaches for development of a new class of hybrid polyphenol-lipid nanoparticles with tuneable internal structure and exploration
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. About the Role FHMRI Sleep Health, based within the College of Medicine and Public Health, is a world leader in transdisciplinary research focused on sleep, sleep disorders, and the development
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools