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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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behaviourally (e.g., sequencing of task executions) in complex environments characterised by uncertain and evolving threats. There is no single best strategy or approach to designing C2 systems because teams and
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PhD Scholarship in ‘Using nanoparticles to enhance the immune response and improve vaccine efficacy’
of disease and are readily available for many diseases, however there is a need for vaccines to complex diseases such as malaria and cancer. Vaccines to complex diseases are more difficult to design and
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We invite applications for a PhD studentship at RMIT university funded by Enzide Technologies. The project aims to develop novel dry particulate protein/enzyme complexes. The project aims to enhance
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provided by metagenomics next generation sequencing (mNGS) is becoming a key driver for the advancement of precision medicine to personalize patient care. Therefore, to take full advantage of these complex
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of the complex non-Newtonian fluids present in this system. This Project addresses a significant scientific knowledge gap in the understanding of the rheology and thermal behaviour bulk plastic melt-flows
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; hidden locations become tourist destinations and neighbourhoods become hotel complexes. Recent research has addressed the problem of building recommender systems that are fair to their registered users
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The PhD candidate will gain intensive knowledge in innovative processing protocols for complex mineral processing, column leaching, and mining site environmental science through hands-on experiments
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(Forensicare). The scholarship opportunity is open to individuals who identify as Aboriginal or Torres Strait Islander and are enrolled in a Doctoral Program. The scholarship aims to support highly motivated and
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of such resources: hidden locations become tourist destinations and neighbourhoods become hotel complexes. Recent research has addressed the problem of building recommender systems that are fair to their registered