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PhD Scholarship - Global Health Economics Job no.: 695403 Location: Caulfield campus (Centre for Health Economics, Monash University, Melbourne, Australia) Duration: 4.5-year fixed term appointment
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Generative AI NLP skills System security Software testing To be eligible you must have: A first-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near
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opportunity to contribute to impactful mental health research—join us in advancing high-quality evidence that informs understanding and treatment of bipolar disorder. About Monash University At Monash , work
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work under the direct mentorship of an esteemed Associate Professor About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground breaking
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Our industry partners are developing software for automation of Hydrogen Deuterium Mass Spectrometry, which can connect structure, behaviour and function of proteins, for understanding diseases and
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PatchSentinel-X: Transformer-Based Security Patch Intelligence for Vulnerability Lifecycle Assurance
analysis into a much deeper AI reasoning problem. The final goal is to build an intelligent assistant for secure software maintenance that can say: “This patch looks incomplete.” “This fix addresses input
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interpersonal and communication skills, with the ability to negotiate and build consensus across all organizational levels. About Monash University At Monash , work feels different. There’s a sense of belonging
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Nowadays more and more intelligence software solutions emerge in our daily life, for example the face recognition, smart voice assitants, and autonomous vehicle. As a type of data-driven solutions
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applications for monitoring individuals' health, activities and social behaviour. Yet, there is a lack of common and standard guidelines in developing mobile sensing apps (from both software development and UI
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🎯 Research Vision The next generation of software engineering tools will move beyond autocomplete and static code generation toward autonomous, agentic systems — AI developers capable of planning