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PhD Develop transferable professional skills Get access to specialised expertise, equipment and training The CSIRO Industry PhD Scholarship (iPhD) Program is an industry-focused, applied research
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listed below at the ARC Centre of Excellence for Quantum Computation and Communication Technology (CQC2T). CQC2T, the flagship organisation for Australian research in quantum computing, comprises eight
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textiles. The Program includes: Admission to a university PhD program. Supervision by the participating university, CSIRO, and an industry partner. A four year scholarship package totalling approximately
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) score during an Honours degree in mathematics or computer science Preference will be given to onshore students from RMIT University and other top-ranked universities Must have research experience in
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In addition to the Industry PhD Program Scholarship of $34,000 pa (GST exempt, indexed annually at 3%), there is an industry top-up component valued at $12,000 pa (not indexed). As such
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These will help women be diagnosed earlier and get onto the correct treatment earlier as well, resulting in increased survival. These will help women be diagnosed earlier and get onto the correct treatment earlier as well, resulting in increased survival. The value of the Scholarship is...
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The ARC funded project will create multifunctional fabric designs & engineering techniques integrating improved heat and flame protection, comfort and smart features into multilayered personal
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In this cross-disciplinary study, we will correlate inflammatory status and epigenetic monocyte programming, with depression in young and elderly, and male and female volunteers. In this cross-disciplinary study, we will correlate inflammatory status and epigenetic monocyte programming, with...
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aim to use the features and functionalities of Metaverse supported by Artificial Intelligence to develop a framework for an educational technology platform and training programs that are challenging
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with a systems biology approach in which we will investigate whether the immunological changes in young and elderly are characterized with changes in the gut microbial composition. Currently big data