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effects. You will contribute to the numerical modelling part of the project, which will benefit from novel element level and centrifuge testing experimental results. You will set up and validate numerical
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are recruiting a highly motivated postdoctoral researcher with experience in plant-fungal interactions. Research will build on recent LC-MS/MS analysis of EVs isolated during the interaction of M. truncatula and
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analysis of EVs isolated during the interaction of M. truncatula and the AM fungus, R. irregularis. The project focuses on obtaining a mechanistic understanding of EV biogenesis, cargo loading and signals
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nanotubes, enables the exploration of thermodynamic processes at the nanoscale. Carbon nanotubes serve as exceptional nanomechanical resonators due to their low mass, high stiffness, and quality factor
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have strong quantitative analysis skills, using statistical programming packages such as R, as well as excellent communication skills. This is a full time, fixed term post (part time considered) for 3
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transcription factors contain long disordered regions, but an incomplete understanding of their roles impedes transcription factor and therapeutics design. You will describe roles quantitatively by biophysically
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aims to push the limits of label-free mass measurement of biomolecules in solution by integrating advanced optical techniques with state-of-the-art data analysis. Building on recent developments in mass
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a social science discipline (or a relevant data science field), have interest and research in the field of economic and experience in data management and analysis. You have demonstrable experience
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analysis. The engineering targets identified using computational approaches by the successful applicant will be validated in crop plants by other members of the consortium. This is an exciting collaborative
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applicant should have prior experience in data analysis, data visualization, and preferably the development of interactive web-applications through approaches such as Bokeh, Shiny, Taipy, Streamlit etc