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processes to drive the selective conversion of captured CO₂ into targeted valuable products, such as sustainable aviation fuels (SAFs), methanol, ethylene, or polymer precursors. This multidisciplinary
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focus on resonant acoustic mixing (RAM) - a relatively novel and increasingly important class of process equipment attracting growing industrial interest across multiple sectors. At its core, the project
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how large language models can generate goal-oriented robotic programs from natural language task descriptions and contextual information. Developing agentic AI architectures that allow robots to plan
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field such as human-computer interaction, behavioural science, psychology, or cognitive science, reflecting the true interdisciplinary nature of the project. Previous experience with qualitative and
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communities derived from healthy donor microbiota. The aim is to establish Engineered Synthetic Microbial Ecosystems (ESMEs) that maintain the diversity and function of natural microbiota while enabling
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English Literature, French, Music or Shakespeare Studies. How to Apply There is a single application process covering all College of Arts and Law doctoral scholarships. Please submit an application to your
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. The project will build on existing processes for battery recycling and iterate on these to develop protocols specific to PV modules. Both end-of-life and state-of-the-art modules will be considered, to ensure
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to think analytically and creatively. Good computer skills, plus good presentation and writing skills in English, are required. Previous research experience in contributing to a collaborative
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Are you passionate about developing next-generation adaptive aircraft that mimic nature? Do you want to contribute to cutting-edge research that will transform aircraft wings from static compromises
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of solar geoengineering, funded by the Natural Environment Research Council (NERC). You will develop a nuanced understanding of the response of critical Earth systems to different SRM scenarios, focusing