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PhD Studentship - Process Industries: Net Zero - Optimisation bio-methanol production from high-moisture feedstock Award Summary 100% fees (UK Home only), a minimum tax-free annual living allowance
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foraging, shelter, moisture, predation, plant protection product exposure and road-crossing risk. Agricultural management, including planting regimes, field margins, soil moisture dynamics, and chronic
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digestion process. This PhD project will investigate bio-methanol production from high-moisture feedstock (e.g. digestate, a by-product of anaerobic digestion) using hydrothermal processing to reduce the
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plants. Their sensitivity to microclimatic shifts, moisture availability, and deglaciation makes them excellent indicators of ongoing climate-driven environmental change. Yet, large-scale mapping
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mechanisms and pathways behind – multiple exposures pathogenesis and disease is not yet fully understood. In the EXPOSIM project, a large-scale EU project, we aim to unravel the complexity of the association
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for the first time to previously inaccessible microsecond dynamics (link). Further boosting the enhancement will require entirely novel designs that exhibit multiple resonances provided by e.g. plasmonic
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recent work shows that PKCα signalling sustains the undifferentiated state of DMG and suppresses MHC-II expression, an effect reminiscent of demyelinating diseases such as multiple sclerosis, where HLA
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transporters based on their structural characteristics. Main activities: -Conduct multiple sequence alignment of plant transporters using phylogeny-aware profiles -Computationally predict and then analyze high
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of asphalt mixtures exposed to climate-induced stresses such as temperature fluctuations, moisture variations, and UV radiation. The study will involve both laboratory experiments and numerical modelling
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and triple recombinase systems, orthotopic organoid transplantations, CRISPR/Cas9, quantitative proteomics / phosphoproteomics, multiple transcriptomics and genomics approaches, single-cell sequencing