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Postdoctoral Fellow with Professor Morgane Austern. Professor Austern’s group focuses on research in high-dimensional statistics, probability theory, machine learning theory, graph data, Stein method, ergodic
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Lab at Harvard University to study the structure and function of lipid droplets in the brain in both health and disease. For more information about our publications and research interests, please visit
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to study the roles of microglia and oligodendrocytes in neurodegeneration and cognitive function. Analyze high-dimensional data to identify molecular pathways and targets relevant to Alzheimer’s disease 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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data. The work will incorporate comparative evolutionary biology using extant plants populations and Herbaria collections. The opening is for a postdoctoral fellow with expertise in one or more of the
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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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provides researchers, students, and instructors with state-of-the-art methods, data, and software.. The Postdoc will: 1) work with other CGA team members to develop and offer state-of-the-discipline
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an opportunity to conduct original, publishable research using data that does not exist anywhere else.
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submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations or research institutes
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and