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This Industry Enterprise PhD Scholarship will support the successful candidate to undertake a PhD to investigate and co-design an evidence-based Young Carers service model in partnership with Young
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This PhD scholarship is for candidates interested in developing culturally inclusive AI by creating methods and datasets to align large language models with global social and legal norms. This PhD
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. Experience with numerical modelling techniques (e.g., DEM, FEM), computational fluid dynamics (CFD), and/or experimental methods (e.g., X-ray radiography, TDR) is highly desirable. Successful candidates will
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This project will investigate artificial intelligence (AI) to improve weather forecasts and use crop models for making better farming decisions. The expected outcome is protocols for integrating AI
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spatial and single-cell datasets to identify molecular mechanisms underlying therapy response and resistance. Their work will also explore tumor microenvironment dynamics—such as immune cell infiltration
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at the intersection of user modelling, multi-agent systems, simulations and modelling, reinforcement and deep learning, evaluation and responsible AI. We understand it is unlikely someone will have a background in all
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April Kartikasari via magdalena.plebanski@rmit.edu.au and april.kartikasari@rmit.edu.au . A copy of electronic academic transcripts A CV that includes any publications/awards and the contact details
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as your proposed principal supervisor, and copy the link to this scholarship website into question two of the financial details section. About the scholarship We are seeking PhD candidates with high
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You will explore the nature of metal corrosion inhibitor interactions through advanced molecular modelling and integrate this understanding into the formulation of evolutionary algorithms
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sensing, to improve worker/operator safety. This project will focus on using density functional theory calculations and ab initio molecular dynamics simulations. The project is a collaboration with Dr