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should possess strong skills in computational biology, computer science, genomics, health informatics or related fields; they should have experience with preparation, administration and leadership in large
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conditions and monitoring for health and proliferation. Prepare cells, organoids, and patient specimens for single cell sequencing. Prepare organoids and patient specimens for spatial transcriptomic methods
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, including epigenetic and single-cell transcriptomic data, with a specific interest in the development of explainable AI and generative modeling methods for applications in Functional Genomics. Prior
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experienced Computational Biologists in the lab and across the ImmGen consortium. They will use software suites for genomic data analysis, in particular single-cell genomics, and develop data-driven algorithms
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single-cell and spatial transcriptomic datasets (10X genomics) of rare tumors from our rare cancers genomics initiative – Perform statistical analyses – Write manuscripts – Present results internally and
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International Research Center (WPI) Program, and it was established within Kyoto University Institute for Advanced Study (KUIAS)on 30 October 2018 with Mitinori Saitou, a world-leading developmental biologist
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well as in vivo conditions; this includes single cell ‘omic approaches and parasite genetic engineering. Establish and foster strong partnerships with internal and external partners for translation
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computational biology expertise to address key drug discovery questions on biological and disease mechanisms, biological rationale, target safety and patient stratification. We utilize single-cell transcriptomics
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single-cell genomics, metabolomics and biomedical imaging will offer opportunities to network with domain experts. You will have access to the local high throughput computational infrastructure
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develop innovative strategies to promote human health through a multidisciplinary and integrated approach, combining genomics, computational and structural biology, neuroscience, and data and decisions