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PhD scholarship opportunity in Materials Science and Engineering: NOₓ production by plasma bubble reactor Job No.: 697669 Faculty/Portfolio: Faculty of Engineering Location: CSIRO Clayton, Victoria
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build trusted relationships with faculties, institutes and key technology partners like NVIDIA, translating complex GPU-accelerated computing, AI/ML workloads and high-performance infrastructure
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student enrolled in Bachelor of Biomedical Science Industry Honours (M3702), Bachelor of Science Industry Honours (S3701). WAM 70+ Benefits $10,000 paid in 2 equal instalments, for one year only. Number
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, scientific machine learning and AI for science, numerical mathematics, inverse problems and scientific computing. The successful candidate will demonstrate expertise in the design, analysis, and/or application
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hybrid cloud environments. You will drive the modernisation of Monash’s Linux capability through automation, Infrastructure as Code, observability, platform engineering and AI-enabled operations, while
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Large language models increasingly adapt using external feedback to alter inference-time behaviour, persistent state or model parameters. However, the signals that drive these changes may be noisy, biased, incomplete, delayed, correlated with the model’s own errors, or progressively underused...
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discover them The Opportunity Join the School of Physics and Astronomy within the Faculty of Science as a Research Fellow and contribute to internationally recognised research in experimental particle
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First Class Honours or a Master's degree in a relevant discipline. Depending on the project, suitable backgrounds may include: Engineering Computer Science Artificial Intelligence GIS and Spatial Science
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Migration Analyst will join the Student Management System Transformation (SMST) Program, supporting the Data Migration Lead in delivering an end to end data migration solution to enable migration of data from
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and Evidence-to-Decision frameworks · Use and evaluation of digital guideline platforms (MAGICapp) · Implementation science and knowledge translation in rheumatology