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Field
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link for full details. Key duties and responsibilities Developing a research protocol, undertaking data collection, data analysis for the qualitative research Conduct and manage research and related
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expansion microscopy (ExM) into our existing workflow. The goal is to visualise serotonergic wiring at subcellular resolution across developmental stages, enabling analysis of how circuit assembly is altered
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spin-burst experiments, will complement advanced finite element analysis (FEA) in evaluating failure behaviour. Who we are looking for An enthusiastic, self-motivated, and resourceful candidate with a
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
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with a surface. This project will involve using and further developing both the experimental and data analysis methods that are currently used within the research team. The student will learn how to use
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institutions (ca. 50:50). Hands-on experience will span battery manufacturing, electrochemical analysis, nanoparticle synthesis, surface chemistry, and safety testing (e.g., ARC). Funding notes: The candidate
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, structural equation modelling, visualisation, preferably in R Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental
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questions for research interviews. Conducting a series of semi-structured interviews at UoN. Transcription and analysis of qualitative data. Attending research team meetings. Contributing to publication
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expertise in single-cell spatial analysis and collaborations with leading epidemiologists, we have collated unique data resources that will enable us to characterise the link between obesity and the breast