176 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ"-"Univ" positions at Monash University
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with the industry partner A structured professional development and training program to develop your applied research skills The project is entitled “Project 2: Techniques and Frameworks for Enabling
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these methods to understand the atomic structure and properties of a range of materials being developed for efficient solar cells, light generation, batteries, superconductors, photonics and nanoelectronics. We
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intelligence (XAI). This project will build on the methodology of formal explainable AI (FXAI) and aim at advancing FXAI technology and broadening its use by seeking (1) how to efficiently represent an AI system
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using structure‑based and medicinal chemistry approaches, contribute to pharmacokinetic optimisation, and support broader discovery activities, including data analysis, sample preparation, and report
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of Pharmaceutical Science Advanced with Honours Bachelor of Pharmaceutical Science/Bachelor of Engineering (Honours) Benefits $6000 one-off payment. Number offered Ten scholarships available per year. Selection
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principles must the task choice be based for this to work? These questions are central to explaining the organisation of natural societies, from insects to humans, and to engineering self-organised systems
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Australia’s shift from single-use plastics to fibre-based alternatives. The centre aims to engineer fibre packaging as a sustainable fossil plastic substitute and optimise its recycling to foster a genuinely
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Research Fellow - Organ-on-chip Technology Job No.: 692000 Location: Parkville Campus and Melbourne Centre for Nanofabrication in Clayton Employment Type: Full-time Duration: 2 year fixed-term
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plants they visit and pollinate. Bayesian networks (BNs), and other probabilistic graphical models, can provide a visual representation of the underlying structure of a complex system by representing
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the construction of PRS and enhance disease prediction. Students will gain experience in: Statistical genetics and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and