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manufacturing. AI methods will then be applied to this large database to inform optimal processing parameters that will produce components with reliable material properties. The process will be validated in a
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polymers, using additive manufacturing. AI methods will then be applied to this large database to inform optimal processing parameters that will produce components with reliable material properties
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: synthesising and combining results from existing model-based sustainability assessments (e.g. LCA, spatial and scenario analyses) to identify optimal transition pathways and to set out a forward-looking research
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larger network of PIs and postdocs and technicians based at the Universities of Manchester and Liverpool. The post will include developing and optimizing molecular biology protocols for high-throughput
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computational prediction, mapping, and functional characterisation of promoter sequences. Demonstrated expertise in measuring plant photosynthesis and performing plant growth assays under both optimal and abiotic
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of the successful candidate will be to optimize the folding, stability, assembly, and functional activity of complex enzymatic systems in plant cells using both transient and stable plant transformation approaches
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advanced numerical simulation and/or optimization tools to the design and characterization of the facility; interact with other technical groups working on the Diamond-II design (e.g. Engineering
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to delivering optimal gout care, by conducting focus groups, stakeholder engagement work, and qualitative data analysis. They will support the development of interventions to address identified barriers
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optimization; bioprospecting for novel microbial hosts, enzymes, and metabolites to support sustainable biomanufacturing. (Bio)pharmaceuticals: Processing science and technology for bio- and chemical