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that favor epithelial cells harboring somatic mutations commonly associated with breast cancer. This work will integrate computational modeling with experimental cell and tissue biology to investigate how
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or more of the following areas: robotic mobility or manipulation, embodied intelligence, self-reconfigurable or compliant robotics, force or tactile sensing, intelligent control, multibody modeling
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biology, biomedical engineering, computational biology, artificial intelligence, and precision medicine across UBC, they will have access to cutting-edge research infrastructure, including human stem cell
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adult cancers Integrate single-cell and clinical transcriptome data through new foundational methods Collaborate with Pathology teams, interfacing computational analyses with traditional pathology
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, or epithelial-plasticity pathways. Interpreting single-cell sequencing, spatial transcriptomics, multiplex imaging, and related multimodal data. Working closely with computational scientists, pathologists
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computational analysis of functional genomics datasets with an emphasis on single-cell omics. This person will develop new computational methods to analyze novel RNAseq, ATACseq, and Spatial Transcriptomics
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Engineering at Harvard University seeks outstanding postdoctoral applicants with expertise in immunology and computational biology, specifically bulk/single cell sequencing and AI/ML workflows, to join an
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We are seeking a motivated Research Fellow to join a Human Frontier Science Program (HFSP)-funded project investigating the evolutionary origins and diversification of sensory receptor and ion
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may contribute to projects involving: multi-omics analyses (single-cell, cell-free RNA/DNA, methylation, proteomics); biomarker discovery for pregnancy complications and neonatal outcomes; computational
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-cell RNA-seq analysis) Strong background in cell culture, molecular cloning, viral transduction, and molecular biology (western blot, PCR, imaging, immunoprecipitation) Strong interest in cancer cell