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Knowledge in computational analyses, including R application to RNAseq data and proteomics. C5 Excellent interpersonal skills including team working and a collegiate approach. C6 Excellent communication
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research on appropriate statistical and machine-learning methodology in the areas of large scale omics data such as genomics, transcriptomics, proteomics/metabolomics and the integration of these, as
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Job Purpose A recognised expert who will lead the mass spectrometry specialist unit that is focused on metabolomics, lipidomics and proteomics analyses. The post-holder with have responsibility
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to investigate how mitochondria contribute to tumorigenesis and treatment resistance. The candidate will study mitochondrial dynamics in these models with metabolomic and proteomic techniques. These studies will
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in maintaining and documenting complex GM mouse colonies. F2 Experience in “Omic” data generation and interpretation, esp. Transcriptomic and proteomic. F3 Experience in complex multi-channel FACS
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of how organisms work. Implicit in the approach is big data (coming from imaging, microarray, RNAseq, proteomics or metabolomics, for which we are very well equipped), together with mathematical and
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with vascular physiology and molecular approaches, including transcriptomics and/or proteomics, to identify novel mechanisms. Importantly, you will validate these mechanisms in patients. This project can
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cells using quantitative proteomic data. Cell Signalling (88) 110154. Mitxitorena I, Somma D, Mitchell JP, Lepistö M, Tyrchan C, Smith EL, Kiely PA, Walden H, Keeshan K, Carmody RJ. (2020
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(Prof Cummings & Dr A Bernassau), microfluidics (Dr H Yin), to applied models (Prof A Hart). The implications of the different repair strategies on the cells genomic and proteomic response is being
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research projects tailored around the expertise of principal investigators within the School. A range of technical approaches are covered including molecular biology, genetics, genomics, proteomics