11 advance-soil-structure-modeling PhD positions at Swinburne University of Technology
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numerical modelling framework to simulate how light and heat interact with the target body tissue, while also incorporating neural signalling dynamics to explore how light-based stimulation affects
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structure is leading to fundamentally different crash dynamics, particularly in run-off-road collisions with existing roadside barriers. Recent tests show that conventional guardrails often fail to protect
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AI & Digital Twins for Advanced Digital Manufacturing Full-time, fixed-term position at our Hawthorn campus Stipend Rate - $40,00 per annum for 3 years About the Role Swinburne University
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to advanced research facilities and opportunities to collaborate with leading experts. This is a unique opportunity to contribute to innovative medical technologies aimed at improving cardiovascular health
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of endeavour including (but not limited to) employment, education, health, communications, engineering and science. Scholarship 2: Advancing gender equity and inclusion in Australia Open to Australian citizens
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an exciting PhD scholarship to tackle one of the most pressing environmental challenges—detecting methane emissions from space using advanced neural network technology. This unique opportunity is part of
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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Be at the forefront of Innovation in Advanced Manufacturing Full-time, fixed-term (3.5 years) position at our Hawthorn campus Stipend of $40,000 (2025 rate), indexed annually Project Title: Edge
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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the Collaborative Research Centre for Low Carbon Living. The project uses agent based modelling (ABM) to represent consumer behaviour, social networks and their responses to non-financial incentives and barriers in