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prediction, signal tracking, fluid dynamics, and space exploration. Advancing Signal Modelling with Physics-Informed Neural Networks This project aims to develop Physics Informed Neural Networks (PINNs
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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among higher degree by research students, and to promote knowledge transfer between academia
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learning. This program allows students to conduct cutting-edge AI research at a world-class institute and provides travel funding to gain valuable experience working with international collaborators in
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the role of stress-controlled structural permeability in hydrogen migration. The project will also investigate the petrophysical and fluid-flow properties of fault rocks and interrogate paleo-episodes
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fracture outcomes using a static locked femoral nail or a femoral nail in the dynamic mode with a sliding lag screw. Clinical factors (including analgesic requirements, Time up and go) and radiological
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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
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of CO2 propagation in heterogeneous media while accounting for diverse factors that influence flow dynamics. As part of this project the student will undertake a remote internship with Shell to produce
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understanding of gene presence/absence, structural variations, and evolutionary dynamics. In this project we will aim to develop novel dynamic programming computational methods for pangenome assembly of diploid
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). No extensions shall be considered. Eligibility To be eligible for the Scholarships, applicants must be: Commencing a full-time Doctor of Philosophy program in engineering at the University of Adelaide
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semester 2, 2025. Applicants must be awarded a Research Training Program Scholarship or University of Adelaide Research Scholarship to be eligible for this supplementary scholarship. Stipend: The scholarship