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deep learning, imaging and data analysis would be helpful for this project. Must be eligible to enrol in PhD programs at Curtin University. Application process Please send your CV, academic transcripts
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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of their difficulties. Discovery strategies typically involve writing or talking about their problems in a safe context. Aims This PhD aims to codesign a research study to establish initial evidence for the efficacy
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stigma and do not reify differences. Failing to apply what we have learned from this approach risks us failing to achieve virtual elimination for all. Aims This research project aims to identify pathways
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reliable. This project will be supported by a robust infrastructure and an intellectually stimulating environment within our machine learning group. The PhD student will be supervised by two highly
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. Through application of a representative learning design framework this project will explore how representative are the training activities undertaken in different in game phase (set play / offensive
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. Scholarship Details Maximum number awarded 1 Eligible courses All applicable HDR courses. Eligibility criteria We are looking for a self-motivated PhD candidate with excellent organisation, problem-solving and
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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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Status: Open Applications open: 1/07/2025 Applications close: 18/08/2025 View printable version [.pdf] About this scholarship Description/Applicant information Learn more about Curtin PhD projects
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peer-based programs across the four streams. Training sessions using experiential learning techniques will be provided to program staff and community members. Data collection methods will include pre