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Field
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structural control for advanced multifunctional applications in electromagnetic shielding and thermal management. The detailed work includes: (1). Establish a precise fabrication methodology to construct long
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Develop principled approaches to robustness challenges such as sensor noise, partial observability, contact dynamics, and environment variability Oversee the research pipeline from data collection strategy
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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frontier research questions and robust quantitative approaches. Plan and conduct regional scientific-diving field campaigns and build productive relationships with a diverse range of collaborators. Provide
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), machine learning algorithms, and perception methods can improve the autonomy, robustness, and precision of robotic manipulation in challenging environments. The project lies at the intersection of control
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of an innovative intelligent poultry monitoring platform that combines environmental sensing, bioacoustic monitoring and adaptive lighting control to improve poultry health, welfare and productivity. The technology
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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evaluations to explore how interventions operate in practice and how they are experienced by those involved. • Supporting organisations to develop robust internal evaluation capacity, including
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research environment. Experience: • Prior research experience in one or more of the following areas is desirable: reinforcement learning, robust control, stochastic control, distributionally robust
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. Perform AI/ML analyses on echo images, standardize protocols, and integrate AI tools with clinical insights. Perform quality control and validate AI outputs to enhance the reliability and scalability