606 embedded-system "https:" "https:" "https:" "https:" "Cardiff University" positions at Monash University
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, bioengineering, and translational medicine. We are seeking a highly motivated Research Fellow (Level A) to join the node of the ARC Training Centre for Microphysiological System Technology (MiPSET), based
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them The Opportunity The Senior Change Manager role is at the heart of the Student Management System Transformation Program, applying expertise to deliver advanced change, communication, and engagement
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Minimum Message Length (MML) is an elegant information-theoretic framework for statistical inference and model selection developed by Chris Wallace and colleagues. The fundamental insight of MML is
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delivers high‑quality, timely and accurate HR services across the University. This is an opportunity to contribute to a high‑performing team that supports the full employment lifecycle for both academic and
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music and performance students who participate in units where there is a travel cost incurred as part of their undergraduate degrees. Total scholarship value $3000 Number offered Not awarded in 2026 See
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. This project is ideal for candidates with a strong background in cybersecurity, blockchain technology, or cryptography, who are interested in advancing the security of emerging financial technologies. 4o
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Automating code generation, SQL query formulation, and data preprocessing pipelines is a crucial step toward intelligent and efficient software development. This project aims to leverage large
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been directly observed in planet forming discs around young stars (protoplanetary discs) and is inferred to be occurring around black hole discs. My research projects use a combination of 3D and 1D
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The Eastern Health Clinical School is inviting you to join us as a Research Nurse to coordinate clinical trials, ensuring top-quality data and optimal participant care. Your role includes recruitment management
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message length (MML) (Wallace and Boulton, 1968; Wallace and Freeman, 1987; Wallace and Dowe, 1999a; Wallace, 2005). There are many cases in which over-fitting - with a model which is too complex - fails