347 building-physics-"https:"-"https:"-"https:"-"https:" positions at Monash University
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Doctor of Philosophy (PhD) in Physical Metallurgy of Hydrogen-Based Iron Oxide Reduction Job No.: 698996 Location: Clayton campus Employment Type: Full-time Graduate Research Degree: 3291 - Doctor
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Research Fellow in Experimental Particle Physics (MWAPP) Job No.: 694525 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: $86,195 - $116,981
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Change Across Diverse Cultural Contexts Project Description: This project explores the potential of AI-enabled personalised health coaching for building healthy sleep, physical activity, and dietary habits
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Lecturer in Analytical / Physical Chemistry Job No.: 695647 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $123,138 - $146,228 pa Level B (plus 17
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PhD Stipend Scholarship – Faculty of Medicine, Nursing and Health Sciences/Monash AI institute [AI-enabled personalised coaching for physical activity, sleep and health behaviour change] Job
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automation can be combined to build self-healing cyber defense systems that can understand attacks, generate responses, verify actions, and repair affected systems. What We Are Not Planning to Do This project
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This research focuses on developing and evaluating methodologies for the optimal design of control charts within the framework of Statistical Process Control (SPC). The study aims to determine the
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autonomous AI coders. Build explainability modules to visualize agent reasoning and decisions. 🧪 Expected Outcomes Prototype of an agentic code generation framework capable of self-directed code improvement
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them The Opportunity Join the Finance portfolio as a Business Analysis and Improvement Officer and lead complex analytics, process improvement and change initiatives that support operational excellence
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
This project develops an AI-informed, community-grounded framework to understand and mitigate antimicrobial resistance (AMR) risks within a planetary health context. Building on the risk modelling