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the biological mechanisms that drive tumour initiation and subsequent growth holds significant promise for improving patient outcomes. This PhD project explores the novel concept that cell fusion between two
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, there is an urgent demand for accurate data on ion-beam collisions with atomic and molecular targets for the development and maintenance of fusion reactors, treatment planning in hadron therapy, and
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The successful PhD candidate will undertake research in the following areas: Develop deep learning algorithms for autonomous robotic navigation using dual-view image fusion and shadow-based visual perception
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correction, downscaling, quality control or data fusion. The research will contribute to the Australia-New Zealand Soil Moisture Data Assimilation System (ANZ-SMDAS), a collaborative initiative involving the
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spiritual reconnection. Unlike conventional approaches that position Elders as passive recipients of care, this project centres Elders as cultural authorities, co-researchers, and knowledge holders
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, data science, or related - Strong programming skills (Python and/or R) - Experience with machine learning or data analysis - Knowledge of deep learning frameworks Application Procedure Interested
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and Evidence-to-Decision frameworks · Use and evaluation of digital guideline platforms (MAGICapp) · Implementation science and knowledge translation in rheumatology
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, tentatively comprising approximately four studies: (1) a systematic review of demand-side approaches to disability employment; (2) a longitudinal quantitative study of employer confidence, knowledge, and
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it. This gives rise to many questions around AIs influence on social cohesion, the nature of knowledge production and education, cultural advancement, geopolitical challenges, national security, trust
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energy systems and understanding how communities engage with energy, Monash Energy Institute creates knowledge and innovation that has both regional and global impact. To learn more about this important