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the interaction between fuel characteristics and hybrid powertrain configurations, optimising combustion, fuel injection, and mixing processes for carbon-neutral or low-carbon fuels. Develop system-level models and
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to the space-based LISA observatory. The research will advance post-Newtonian waveform modelling through improved analytical techniques, incorporate strong-field information from numerical relativity simulations
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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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, 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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generate embodied emissions. Post-retrofit emissions depend on energy system transitions (e.g., grid decarbonisation, and socio-economic factors including population growth and housing evolution (Mastrucci
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An interdisciplinary and international research environment Professional development in research communication, data analysis, and project management How to Apply Please send the following documents as a single PDF to
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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
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knowledge of tsunami-generating processes and past events at identified high-risk sites through targeted fieldwork, building on recent studies of Anak Krakatau, Ruang and Awu volcanoes. Combining insights