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PhD Scholarship Develop GNSS-IR methods and integrate GNSS-derived observations with satellite data and land surface models through data assimilation to deliver accurate, high-resolution soil
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AI PhD Scholarship - Opportunity: Foundation Models for Brain Data Job No.: 696618 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up to 3.5 years
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Status: Open Applications open: 1/04/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by
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The Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and Queensland Academy of Sport (QAS) are leading a consortium of government and industry organisations in sports, sports and
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between the conveyor belt and the bulk material, and experimentally validate this model using both laboratory and onsite data. In 2022, mining and mineral processing contributed roughly 70% of Australia's
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. ##Application information In order to apply for this role, please ensure that you upload the following documents: - A cover letter - A curriculum vitae - Transcript of Bachelor's degree - Transcript of a Master's
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evolution, chemistry and morphology. This project will investigate how machine learning can learn physically meaningful representations directly from these data and help understand how materials evolve during
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: Experimental evaluation of biomarker behaviour under differing rehydration strategies (i.e. water-only versus electrolyte-supported rehydration). Data analysis and classification framework Data collected across
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PhD Scholarship Develop AI and machine learning models to guide real-time, personalised treatment of paediatric brain cancer using multiomics and clinical data, within the internationally
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language models and continuous wearable data now make genuinely personalised, context-aware coaching feasible for the first time, while raising real questions about safety, equity, engagement, and cultural