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exponentially accurate approximation or controls in PDEs. Gevrey regularity allows one to go beyond the smooth theory and obtain quantitative remainder estimates, while retaining useful tools such as cutoffs and
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or 2:1 Undergraduate degree and/or MSc degree with Distinction in a relevant science or engineering subject. Ideal candidates will have: A strong foundation in Control Theory and/or Systems Engineering
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how ultrasound aligns particles and controls crystallisation to create materials with tailored anisotropy. Using experimental acoustics, modelling, and advanced characterisation, you will pioneer new
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that can anticipate and adapt to the behaviour of humans and other autonomous agents. This PhD project aims to investigate the integration of Theory of Mind (ToM) reasoning into autonomous agents to improve
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their phenotypes, creating a key "phenotypic gap" in demographic theory. The project integrates modelling, experiments and empirical data to understand how developmental trajectories (e.g. growth, maturation and
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the tight coupling between body dynamics, sensing, and interactions among neighbouring agents and their environments. The research will exploit an interdisciplinary approach that combines control theory
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Experience with life-history, developmental biology, or behavioural ecology experiments in small invertebrates Experience linking empirical data to modelling or theory Experience with controlled laboratory
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Engineering, Mechatronics, or Robotics, with a heavy emphasis on dynamic system theory, or a closely related discipline. Strong academic background in applied intelligent control techniques, machine learning
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learning, control theory, and embodied autonomous systems. The successful candidate will contribute to the development of learning-based control methods that are not only high-performing, but also safe
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consistency, and transfer of training to novel tasks. Originality and Innovation This project is highly innovative in applying fundamental theories of human motor control to address a critical gap in immersive