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and compare two distinct mathematical approaches to network metrology: Spectral analysis approach – based on network layer decomposition and spectral measures on singular values to mathematically
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insecurity, which will include sampling; training and managing research assistants (survey enumerators); team-based, quantitative and qualitative data analysis; and working with a network of European
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support projects using GWAS, Mendelian Randomisation, and polygenic risk score analysis to uncover genetic mechanisms underlying complex traits. There are opportunities to integrate omics data across
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of noncanonical epitope candidates in multi-omics Documented experience in in vitro digestion with purified proteasomes and analysis of mass spectrometry RAW files Documented experience in peptide elution from MHC
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collection and analysis. There will be scope to contribute to the design of visual or interactive outputs (such as infographics or dashboards) and shape the development of a future larger-scale cohort study
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approaches, advanced microscopy and immunological assays on fresh human tissue samples to phenotype and functionally characterise cell populations. Experience in advanced sequencing and omics analysis is
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, quantitative and qualitative data analysis; and working with a network of European collaborators (the EuroWISE collective). Work Package 2 (Analysis and Data Management): The PDRA will be responsible for data
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, quantitative and qualitative data analysis; and working with a network of European collaborators (the EuroWISE collective). Work Package 2 (Analysis and Data Management): The PDRA will be responsible for data
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Dr Heli Hietala. The postdoc project involves primarily simulations informed by observations, related data analysis and theory/models, comparing various aspects of shock particle acceleration and meso
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, & creative research methods Experience in analysing qualitative data using thematic analysis and analysis software (e.g., NVivo) Demonstrated ability to work collaboratively with research teams and people with