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project, we will analyse the dynamical processes driving tropical atmospheric rivers, their interactions with low-pressure systems such as monsoon lows and tropical cyclones, and the skill of the Met Office
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down the AMOC, which is highlighted as a global tipping point of major concern by the Intergovernmental Panel on Climate Change (IPCC). This project seeks to understand the operation of this sub-polar
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of the underlying the physical processes leading to predictability and forecast skill of North Atlantic cyclones. The project will also explore statistical post-processing methods to see if raw forecast skill can be
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mechanisms, namely the remodelling of membrane lipids. Lipid remodelling is a process whereby bacteria selectively modify their membrane lipid composition in response to a particular environmental stimulus
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death. The role of NLR genes in these processes has been thoroughly described for plants and animals, but how they contribute to the fungal immune system is unexplored. Fungal NLR genes also show hugely
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-inflammation and psychiatric disorders (e.g. depression). The cellular processes underlying structural brain change include neurogenesis and gliogenesis, cell loss, changes in cell shape, synapse formation and
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, cooperative operation among connected electrified vehicles such as airport trailers, delivery pods, or urban mobility fleets. Using multi-agent systems, reinforcement learning, and digital-twin technologies
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easier to detect and measured experimentally. However, it is not well known yet how this process emerges and how one can control it. This PhD project will focus on developing the necessary theoretical
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Lakes are dynamic methane sources where both benthic and pelagic processes shape net emissions. Sediments are the dominant methane producers, but growing evidence shows that phytoplankton can
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affect plankton-driven processes and carbon cycling remains fragmented, with few quantitative datasets under realistic ecological conditions. This PhD project will bridge that gap by combining field