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researchers, under the supervision of Prof David Wedge. Collectively, this team has expertise in the analysis of multilevel omic and imaging data; data integration and machine learning; risk prediction. This
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optimisation, and business case analysis, tailored to real-world industrial partner sites. The project will be delivered in close collaboration with Loughborough University, Heriot-Watt University, and three
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the macroenvironment when liver metastases are present. We use a variety of state-of-the-art techniques including flow cytometry, spectral flow cytometry, CyTOF, multiplex immunohistochemistry with spatial analysis
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out research related to the directed evolution of enzymes, the biochemical and biophysical characterization of candidate enzymes, and the chemical analysis of enzymatic reactions. Thus, the candidate
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Experience in working with robotic systems for HDX workflows Excellent technical skills in sample preparation and HDX-MS data analysis Extensive and up-to-date theoretical and practical knowledge in working
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at stage gate 2. Responsible for communicating with the inventors the analysis and decisions made in the Innovation Factory about invention. This will be done with support from the Innovation Discovery Team
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at stage gate 2. Responsible for communicating with the inventors the analysis and decisions made in the Innovation Factory about invention. This will be done with support from the Innovation Discovery Team
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globalisation’s multipolar and adaptive institutional origins. It employs a global and intrinsically comparative analysis on institutional transformation between 1450 and 1750 – to challenge long held beliefs about
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manipulation of filamentous fungi, ii) in vitro and/or in vivo infection models, iii) confocal/microfluidic- and/or imaging flow cytometry-based experimentation, iv) fungal genomics and transcriptomic analysis
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their institutional policies related to mining, pollution and health impacts. Through systematic policy analysis of public-facing literature and expert interviews, the PDRA will establish a baseline knowledge framework