306 computer-programmer-"https:"-"https:"-"https:"-"https:" positions at Monash University in Australia
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completion); Applied for admission to a PhD program at an Australian university or be a student enrolled in their first 12 months of study in a PhD program at an Australian University; A university supervisor
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computation is necessary before taking an action. This PhD project will address these challenges by developing trustworthy and resource-adaptive VLA models. A central question is whether an embodied agent can
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associated platforms. Define and deliver the HR ERP strategy, future‑state processes and operating frameworks. Oversee complex ERP program delivery, ensuring successful implementation and transition
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health solutions. Working within multidisciplinary research teams, students will gain valuable experience applying advanced computational and analytical methods to real-world health challenges. The program
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Join an exciting research program as a Postdoctoral Research Fellow, investigating how digital e-auctions can improve agricultural market performance in Lao PDR and Cambodia. You will contribute
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Manager will provide expert advice on accreditation requirements and their impact on curriculum, assessment, professional experience and program delivery. The role will drive continuous improvement
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PatchSentinel-X: Transformer-Based Security Patch Intelligence for Vulnerability Lifecycle Assurance
++, Java, or Python code, Basic static analysis tools such as Semgrep, CodeQL, or SonarQube Nice to Have CodeBERT, CodeT5, or GraphCodeBERT, Program analysis, Data-flow and control-flow understanding
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. This project is funded through the Australian Government National Industry PhD Program and provides a unique opportunity to conduct cutting-edge AI research while working closely with industry to translate
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student You must meet the following criteria: Current student enrolled in an Honours program in the Department of General Practice in the School of Public Health and Preventative Medicine at a Monash Campus
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at developing methodological contributions at the intersection of computer vision, multimodal learning, predictive world models, embodied AI, and human-robot interaction. The candidate will work towards models