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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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. 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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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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, 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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to the development and refinement of analytical models, including predictive and spatial models, under the guidance of senior technical staff. The role supports translating quantitative outputs into meaningful
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, implement, and tune advanced control augmentation techniques (e.g., model predictive control, adaptive control) to enhance the stability and agility of COTS drones under dynamic conditions. Swarm Intelligence
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research associate will focus on Vision-Language Model based situation awareness and decision-making