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of this project is to: (i) evaluate mechanisms potentially currently limiting Pst B. vulgaris infection and, thus, sexual reproduction in the UK and (ii) use spatially explicit models to predict how (and when) Pgt
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% efficient in this process largely due to proton leak pathways that occur, leading to energy lost as heat. In specialised brown adipose tissue, popularised as ‘good fat’, such heat production is specifically
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The composites industry is under increasing pressure to transition towards a truly circular economy. As growing demand continues to widen the supply gap, we must recover untapped value that would
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. The aim of this project is to develop multimodal generative AI for embodied collaborative agents. This project aims to create AI agents capable of seamlessly collaborating with humans and other agents in
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vocabulary development. The PhD position is part of the EU Synergy Project SHAPE (https://www.ntnu.edu/shape/home ) which is examining the interaction of language and thought and specifically the visual
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Title: Next-Generation Membrane Testing for Fuel Cells and Electrolysers Using Terahertz Spectroscopy Abstract: This is a unique opportunity to join a cutting-edge PhD project in collaboration with
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Are you ready to push the boundaries of engineering innovation and accelerate the world’s transition to carbon-neutral energy systems? Join the Thermofluids Group in the School of Mechanical
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and kinematic models with machine-learning-based channel state information (CSI) prediction to enable robust, low-latency connectivity across multi-layer NTN systems. This PhD project sits
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Primary Supervisor - Dr Neda Trifonova Background The UK marine environment is a complex, high-demand space. It provides vital services, including food provision through fisheries and aquaculture
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic