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to cultural artefacts and buildings, and the ways that curators, conservators, scientists, critics, artists and the public responded, this PhD project will develop new understandings of the relationship between
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both individual decision-making and multi-agent cooperation. The student will investigate two complementary directions: ToM-Enhanced Decision-Making for Autonomous Agents: Develop decision-making
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). The successful PhD candidate will use a combination of adaptive laboratory evolution and rational metabolic engineering to achieve these goals. In addition, they will develop growth‑coupled selection strategies
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tissues or reveal micro- or nano-structural features, like the small air sacs in lungs. To overcome these limitations, alternative X-ray imaging methods have been developed: X-ray phase-contrast and dark
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4D imaging, their high data rates limit their use in real-time applications. As a result, the available benchmark data for developing numerical models to predict transient multiphase flows is limited
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-time Duration: 4-year fixed-term appointment Remuneration: 4-year scholarship package totalling approximately $47,000 per annum tax exempt (2025 rate) A four year Project Expense and Development package
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with NEOM, one of the world’s largest ecological restoration programmes, the project will develop machine-learning approaches to analyse satellite observations of vegetation change and evaluate large
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Robotics Centre (MRC) at The Chinese University of Hong Kong (CUHK). The successful candidate will contribute to the development of an advanced telesurgery platform built on a novel surgical system. This
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of specific molecules remains a major scientific challenge. This PhD project aims to develop a new electrochemical route for converting CO2 (or CO) into formate / formaldehyde, important platform chemicals
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work at the interface of artificial intelligence, materials science, and sustainable chemistry to develop new approaches for the recovery of rare earth elements. Rare earth elements are essential