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control and prediction of degradation kinetics in physiological environments remain major scientific challenges. This PhD project aims to establish fundamental and quantitative understanding of dissolution
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problems into scalable data science and AI solutions, contributes to predictive modeling and automation initiatives, and mentors junior analysts. Working closely with data architects, engineers
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Australia’s future change-makers and create a better tomorrow. Work that matters We are seeking a Postdoctoral Research Fellow to contribute to the development of mathematical models to predict collective
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, auditors and other external bodies. Develops financial modeling and predictive analysis using internal resource allocation models. Plans and implements a wide variety of financial planning related projects
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Australia’s future change-makers and create a better tomorrow. Work that matters We are seeking a Postdoctoral Research Fellow to contribute to the development of mathematical models to predict collective
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. To minimise material and energy wastage, digital models of the manufacturing processes can be developed and linked to process control and optimisation. State-of-the-art digital models and AI tools
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behavioural predictions into the same framework, based on heterogeneous mental models which are used to evolve internal, imaginary scenarios within the robot. Indeed, the robot will ”imagine” multiple solutions
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. The successful applicant will develop a predictive pipeline using atomistic modeling and machine learning to identify optimal "seeds" for directing crystal growth, followed by rigorous experimental testing
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team designs and carries out controlled experiments and develops, validates, and applies advanced mathematical models to investigate a wide range of agricultural challenges, including the impacts
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optimise deep learning–based models for the quality control and real-time assessment of concrete constituents within in-line production. Develop and train predictive algorithms based on hyperspectral imaging