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deep learning. The purpose of this scholarship is to support a PhD student to contribute to the advancement of infrastructure monitoring technologies with strong industry collaboration. Student type
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Student Scholarship base Merit Based Value A successful PhD candidate will receive an attractive scholarship package, covering both stipend and tuition fees, totalling approximately $85,000 per year. The
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-refinement for finite element and scientific deep learning methods (gradient-free adaptation, generalized stochastic gradient descent methods) Salary for PhD students: is AUD32K per annum, tax free
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such knowledge could inform more effective assessments and treatments for ADHD. Aims The aim of this PhD project is to enhance the understanding of ADHD and its relationships with emotion regulation problems
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high importance to clinical psychology and psychiatry. Aims The aim of this PhD project is to enhance the understanding of alexithymia and its relationships to emotion regulation and mental health
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Status: Open Applications open: 23/06/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship supports a
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an ARC Linkage Project collaborating with an industry partner. The purpose of this scholarship is to support TWO future PhD students in conducting research on the “Regeneration of High Value-Added
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an ARC Linkage Project collaborating with an industry partner. The purpose of this scholarship is to support THREE future PhD students in conducting research on the “Thermochemical energy storage and
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applicable HDR courses. Eligibility criteria We are looking for a self-motivated PhD candidate with excellent organisation, problem-solving and project management skills. Candidates with both quantitative and
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Status: Closed Applications open: 27/02/2025 Applications close: 8/04/2025 View printable version [.pdf] About this scholarship Description/Applicant information The PhD project forms part of an ARC