24 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"FEMTO-ST-Institute" 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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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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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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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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candidate will have demonstrated experience in student admissions for universities or TAFEs, with knowledge of educational systems, visa regulations, and national codes. They will possess strong
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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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applications using JavaScript/TypeScript, React and Node.js, with modern cloud and serverless architectures across GCP/Firebase or AWS. Strong knowledge of modern software engineering practices, including coding
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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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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 2021) (the Code
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University Supervisor: Dr Mega Kar Graduate Research Degree: Doctor of Philosophy (course code: 3291) Application type: Candidature only Enquiries: Dr Mega Kar, [email protected] Applications close: Monday