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(Spiegel et al. Nat Med 2021, Majzner et al. Nature 2022, Frank et al. Lancet 2024). We have generated a wealth of single-cell sequencing, spatial, clinical, and other types of data from these and other
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our team. We are looking for postdoc candidates to develop and apply cutting-edge technologies in spatial transcriptomics, single-cell sequencing, machine learning, and functional genomics
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the Department of Environmental Health at Harvard University has openings for highly motivated postdocs to develop and apply novel computational approaches for next generation sequencing data analysis
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model with a farm model Run scenario analysis to identify management practices with the largest mitigation potential, both spatially and temporally Coordinate and contribute to dissemination
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additionally learn a cutting-edge technique called cyclic immunofluorescence (CyCIF), which allows spatial resolution of different cell states within a tissue in order to understand how tumors are organized and
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based on single-cell and spatial omics data, and (iii) integrating regulatory profiles with multi-modal data. These efforts aim to uncover regulatory mechanisms behind cancer and to develop predictive
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response to pathogens. The lab uses state-of-the-art techniques including single cell RNA sequencing and spatial transcriptomics. The individual will have the opportunity to work on their professional
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stakeholders involved in the project.The selection process will include analysis of the letter of interest/presentation (with information on 2 professional references for contact), curriculum summary (https
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Development; and Urban Planning and Spatial Analysis. Rigorous academic programs provide students with the knowledge and distinctive opportunities to make meaningful contributions to their professions
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computing clusters and analysis of transcriptomics and genomics datasets. Desirable Requirements Experience in single-cell and spatial OMICS data analysis. Development of ShinyApps and