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factors involved in the onset and progression of dementia. Advanced computational methods, including bioinformatics pipelines and machine learning, will be employed to uncover putative biomarkers and
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external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning
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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers
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Vision and Edge Computing'. PhD candidates involved in this project will be trained in the emerging field of smart infrastructure, which is critical for Australian society in the coming decade
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research student.About the project and ScholarshipsThe rapid adoption of lithium-ion batteries (LIB) in electric vehicles and energy storage globally is generating a significant volume of waste end-of-life
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identified. Please ensure you include all of the following documents: Degree certificates (testamurs) Academic transcripts Translations of non-English documentation Evidence of current English
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engagement component of the scholarship will include an industry placement with Intergrain (Bibra Lake, Western Australia). A suitable candidate can start in January 2025. Student type Current Students Future
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. The underwater acoustic communication technologies will help. The school is focusing on research in AI/machine learning and signal processing which are the research areas in this proposed project. We have
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at $10,000 as a one-off research allowance. Eligibility To apply for the scholarships, you must be: a current research student at an Australian university, enrolled either full-time or part-time in a research