19 coding-"https:"-"https:"-"https:"-"EPFL" positions at Monash University in Australia
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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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Code for the care and use of animals for scientific purposes (8th edition 2013 (updated 2021) (the Code)). The AEC is comprised of members across various categories as stipulated in the Code and includes
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can derive by hand and build up to large-scale calculations. You will need a background in condensed matter physics / quantum mechanics and an interest in coding (Python); no prior experience with
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the VR viewer's point of view, and manually coding VR events and the participant behavioural response. This project focuses on automating this process through the training of AI models to detect
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PatchSentinel-X: Transformer-Based Security Patch Intelligence for Vulnerability Lifecycle Assurance
lifecycle of a vulnerability; from vulnerable code, to patch, to advisory, to regression risk; and determine whether a security fix is complete, safe, and trustworthy? So we are not planning to do
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related field. Strong analytical and manuscript preparation skills, experience analysing complex clinical or biological datasets and the ability to develop well-documented code in R, Python or another
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of animals is justified and has scientific merit and animal welfare is prioritised, in accordance with the Australian Code for the care and use of animals for scientific purposes (8th edition 2013 (updated
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engineering. Experience with experimental measurements, image-based diagnostics, laboratory testing or quantitative data analysis. Coding and analysis capability in Python and/or Julia, preferably with
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manner, or we could adapt alternative forms of LLMs like JEPA. Required knowledge Good Python coding and operational experience with LLMs. Basic Bayesian understanding.
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group’s projects often combine astronomy, coding, visualisation, and data science, and work well for students who enjoy either astrophysics, machine learning/coding, or both. The multidimensional structure