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Field
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how bespoke surveys, standardised data sets, advanced quantitative analysis, and qualitative data can inform government policy and decision making in the marine environment, while building capacity
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bioinformatics research focused on cancer epigenomics, gene expression, single-cell and spatial omics, and metabolomic data analysis. Develop computational tools, apply AI and machine learning approaches
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experiments, and post-mortem tissue analysis. Collaborate on ex vivo retina calcium imaging experiments. Mentor graduate students and undergraduate researchers. Collaborate with other labs, and leading writing
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Skills participants and analysis of the Kingston Graduate Attributes Index - Analyse alumni survey, employer and engagement datasets to assess long-term skills use, career advancement and graduate-level
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, including the National Environmental Isotope Facility Radiocarbon Laboratory, and analysing complex datasets. Working within an interdisciplinary team, you will contribute to research on soil biogeochemistry
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complex quantitative studies, including survey experiments, longitudinal designs, and advanced statistical analyses using SPSS, R, STATA, or equivalent tools Taking primary responsibility
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acquisition, analysis, interpretation, and the development of novel imaging biomarkers. The successful applicant will play a key role in studies investigating plaque morphology, thrombus characterisation
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the GOSH DRE. The postholder will have a strong foundation in statistical analysis and epidemiological approaches, and experience of analysing longitudinal data. They will join a team conducting
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experience developing reproducible and scalable computational workflows for the analysis of complex biomedical data. Experience of using high-performance computing. A proven ability to lead research programmes
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mechanistic insights linking textural dynamics to sensory perception. Integrate multi-modal datasets from different mastication simulators into a 3D Principal Component Analysis (PCA) space, enabling