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for genome sequencing data to enhance our understanding of disease processes including cancer and brain-related diseases. Areas of interest include: Identification of mosaic mutations in non-tumor cells and
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molecular and phenotype data. Including code that is production-ready for dissemination to other laboratories and for diagnostic use, and the management of large-scale data. They will join a team of
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, to extract insights from multi-omic single-cell and spatial datasets Integrate population-level genetic association data (e.g., GWAS summary statistics, eQTL resources) with single-cell and spatial datasets
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Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ONT Whole Genome Sequencing (WGS), RNA-Seq). The ideal candidate will have a deep understanding of next-generation sequencing (NGS
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family friendly benefits including an excellent on-site nursery. Further Information To apply please upload your CV and a cover letter to the University website. You will also be asked to address some
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laboratory Our research focuses on large-scale pan-cancer genomics to gain insight into the genes, mutational processes and evolution of cancer. Our work is highly data-driven, with a focus on large-scale data
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centralized grid is evolving into a highly distributed, data/ computation-intensive, AI-driven ecosystem in which smart meters, microgrids, aggregators, and edge devices actively participate in energy
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3 Jul 2026 Job Information Organisation/Company CIC bioGUNE Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
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family friendly benefits including an excellent on-site nursery. Further Information To apply please upload your CV and a cover letter to the University website. You will also be asked to address some
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. or M.D./Ph.D. in areas such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health