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samples, lack of training data and sample variability. In this project we aim to develop AI/ML workflows for improved quantitative analysis of LNPs. Your responsibilities will include optimisation of data
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Are you excited about research at the intersection of genomics and data science? We are looking for a researcher to join our team and contribute to advancing our understanding of genome evolution
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of molecular networks in cancer to advance precision medicine. By integrating high-throughput data (e.g. transcriptomics, proteomics, metabolomics) with prior knowledge of molecular interactions, we construct
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investigator, other postdocs, PhD students, and external collaborators to advance research objectives and generate high-impact results. In addition to research, some participation in supervision of doctoral
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be