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present results at team meetings to share results, plan projects and experiments. · Work with other computational biologists experienced with various sequencing technologies, including those
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projects and experiments. ● Work with other computational biologists experienced with various sequencing technologies, including those at the Stanley Center, to learn, discuss, and integrate the most
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how different stages recover from reorganization and injury. The postdoctoral researcher will perform molecular, cellular, and developmental experiments, obtain sequencing data, data analysis, and
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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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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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microbiome and sequencing datasets acquired with human samples is a plus. Required documents: CV Research summary of PhD work Cover letter describing your interest in the lab and initial ideas for new research
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architecture of complex traits. We develop computational and statistical methods for sequencing studies. We also have projects in cancer genomics and applied human genetics. The lab encompasses a wide range of
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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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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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of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of