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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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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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Raman Spectroscopy’ (ACU-SERS), the overall ambition is to develop and mature the new medico devices for therapeutic drug monitoring of patients in treatment for sepsis at the intensive care unit. In the
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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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Development”, funded by an ERC/UKRI Starting Grant 2023. The project will leverage micro-level data from multiple countries and novel theoretical frameworks to shed light on how the accumulation and utilization
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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
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deadline: 1 April 2026 Apply now How do social norms regarding climate change mitigation develop within contexts in which norms are not easily observed by others? We want to better understand under which