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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
work at the interface of academia and industry, leading research on executing advanced transcriptomics and translatomics analyses to drive ovarian cancer target discovery and commercialization. The role
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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics
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complementary transcriptomic and other relevant omics data, and access, curate and data mine publicly available repositories such as PRIDE. The role will involve close collaboration with research team members
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from complex time course experiments. The post holder will perform bioinformatic analysis of proteomic and phosphoproteomic datasets, integrate these with complementary transcriptomic and other relevant
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics) • Multi-omics for non-cancer health screening applications, • Machine learning modelling
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responses to different abiotic stresses (high temperature and drought) using specific seasonal conditions. The research project will involve plant phenotyping, transcriptomics, proteomics and modelling