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. Harnessing technology, we thrive as a distributed yet connected community, welcoming and engaging with people across Australia and the world. The Division of Information Technology are an expert and responsive
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-based hail climatology for France, Switzerland and Northern Italy, including hail swaths per event across more than a decade. Design, develop and train geostationary satellite-based hail algorithms using
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algorithms for resource-efficient hydroponics and evidence-based frameworks for integrating green space exposure for improved student wellbeing. This project will potentially enhance urban food resilience
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of the postdoctoral researcher will include: To work closely and proactively with Prof Anton van den Hengel to scope and develop research ideas. To develop algorithms, machine learning models, Python modules
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the accessibility of specimens, tissues, images and associated data. You will ensure the collection continues to serve as an active and trusted reference for marine fish taxonomy and distribution, while upholding
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– to develop and spread wisdom to make the world a better place. Harnessing technology, we thrive as a distributed yet connected community, welcoming and engaging with people across Australia and the
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ideas. To develop algorithms, machine learning models, Python modules, demonstrators and training pipelines for publication and translation into commercial products that can be widely and reliably adopted
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: Research: Development and validation of predictive maintenance algorithms for solar farms. Interface with industry partners for knowledge sharing and feedback. Play a key role in reporting to the funding
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enhancing national expertise in rural and remote health research and the translation of research into policy and practice. Our team is distributed across the far west, north and south western regions of New
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interpretation and faster decisions for families. This work is already underway in our lab. We’re assembling a strike team of three exceptional postdoc researchers to design autonomous discovery systems