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modelling for mining and metallurgical processes. Ability and willingness to obtain and maintain an Australian government security clearance in the future Role Requirements: Australian citizenship (not
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area of expertise. You may be a great fit if: You are a passionate researcher with a PhD in Computer Science or a related field, experienced in machine learning for spatial data management, with a track
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this position, you will have: PhD degree in relevant field Demonstrated knowledge of structural analysis of alloy components, Finite Element Modelling (FEM) and preferably morphology/topology optimisation
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Job Reference: 987915 About The Role: An exciting opportunity is available for a Level A and/or Level B academic with strong econometrics, data science, analytical, and statistical modelling skills
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recovery care model, helping shape future policy and practice in this critical area. In this role, you’ll be part of a collaborative and high-performing team of experts from across Monash University
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initiative in mathematical biology, bringing together mathematical, computational, and biological scientists to make biology predictive; establish mathematical whole cell models (WCMs) for in silico biology as
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of artificial intelligence, Human-Computer Interaction, and human-centred computing. The position focuses on developing and evaluating computational models for recognizing, interpreting, and measuring human
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program. You will develop and implement cutting-edge computational approaches to accelerate the identification and optimization of novel drug candidates, including molecular dynamics, protein modelling
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optimisation models (e.g. using MiniZinc) and solving methods to demonstrate the transformative potential of optimisation technology in this application. Collaboration will be key, as you’ll join the DSAI’s
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and build a strong emerging research profile in Information Retrieval, Natural Language Processing and Large Language Models, with a focus on transformative applications in the healthcare domain. At UQ