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research opportunity focuses on understanding how renewable energy developments generate socio-economic value for local and regional communities, and how different approaches to community benefit design
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, inclusive, and globally minded research environment, recognized as a global hub for the UN Sustainable Development Goals (SDGs). As a key member of the EASE team, you will join the "Picturing Climate
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planning and policy. Aligned with Theme 3 (BUILD) of the NIHR Emergency Preparedness and Resilience HPRU, this PhD aims to develop and evaluate an applied framework for recording, curating and analysing data
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investigate how bioacoustics and artificial intelligence can be combined to develop automated, non-invasive approaches for assessing dairy cattle welfare. The project will explore how acoustic information
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an emphasis on reaction development and optimization. Training BioProcess aims to train the next generation of bio-innovators. Our interdisciplinary programmes prepare PhD students and researchers with the real
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will develop an integrated framework combining computational fluid dynamics (CFD) with quantum gas LiDAR measurements to improve the quantification of methane emissions. The central research question is
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advanced XCT workflows by developing Artificial Intelligence (AI) and Machine Learning (ML) tools to support imaging before the reconstruction phase. The research will focus on: Data Upscaling : Using ML U
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fees will be paid. We expect the stipend to increase each year. The start date is October 2026. This fully funded PhD project will merge the latest tools from experimental directed evolution with
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The development of safe, high-energy solid-state batteries is a key UK national priority, but it faces a critical bottleneck: the microscopic flaws that cause catastrophic failure (such as dendrite
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project, in collaboration with Syngenta, will develop catalytic and modular synthetic routes to an underexplored class of fluorinated three-dimensional building blocks with strong potential for application