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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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to Academic Output: Prepare and publish high-quality research papers in leading journals. Support Student Development: Assist in supervising and mentoring research students. You may be a great fit if: You are a
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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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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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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