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of human cohorts” (65%, Proteomics Group) Ref. Number: 396_2026 PhD Position 3 “Image-based analysis of human cohorts” (65%, Lipidomics Group) Ref. Number: 397_2026 PhD Position 4 “Data Science” (100
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multiple lines of treatment for more than 1000 patients have been collected. Multiple samples derived datasets have and are being generated, including genomic DNA analysis, serum proteomics, peripheral blood
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-cell findings with existing WGS, bulk RNA-seq, plasma proteomics, epigenomic and metagenomic data from the same patients to identify prognostic and predictive biomarkers Duties Specific research duties
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insights. Information Statistical modelling of multiple omics datasets is a lively and rapidly developing research area. Ongoing technological advances make it possible to measure multiple biological data
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to enable drug discovery applications”. Are you interested in mapping the binding sites of the human proteome and developing new pharmacophore software to screen against the sites to identify novel bioactive
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complex genomic abnormalities (e.g. isochromosomes) are observed within multiple cancer types, but prognostically are thought to play different roles across different cancers. The application of long-read
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modulates the bioprotective performance and functionality of different starter cultures used in food production. The work will combine advanced proteomics, molecular microbiology with food fermentation models
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interest in quantitative biology Curiosity and motivation in learning multiple -omics approaches Preferred experience includes familiarity with quantitative proteomics or NGS library generation Previous
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cloning. Proven expertise in transcriptome analysis, protein interaction studies, and functional genomics approaches. Experience working across multiple biological systems, including cell lines and insects
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. Being independent and able to interface with multiple work groups is critical. We use biochemical, proteomic, cell biology, molecular biology, genomic, epigenomic, and mouse model approaches and