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Field
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allograft rejection/failure is highly desirable. The approaches are founded on interpretation of large data sets from human genome level sequence data and/or mouse cell type specific transcriptome sequence
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spatial transcriptomic platforms. With the breadth of ongoing research projects, there are ample opportunities to tailor the needs of the lab to the skillset and interests of the individual. Candidates with
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, single-cell mRNA transcriptomics, and quantitative/functional antibody assays in human and animal models. Responsibilities The postdoctoral associate will – based on their research interest: Design and
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of reporter systems to monitor RNA-mediated gene regulation Functional characterization of candidate riboswitches in cultured cells Transcriptomic and gene expression analyses Investigation of lithium- and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
cloning/molecular biology, protein engineering and biochemistry, mammalian cell/tissue culture, flow cytometry, next-generation sequencing, transcriptomics, and animal models of disease. This is an
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, including flow cytometry, confocal microscopy, single-cell transcriptomic analysis, RNA-seq, and ChIP-PCR assays. Candidates must hold a Ph.D. degree in biological sciences or a related field. Strong verbal
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in collaboration with local and international partners. The Postdoctoral Associate will design, execute, and interpret computational analyses for large-scale genomic, transcriptomic, and epigenomic
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
execute bacterial perturbation experiments, develop scalable molecular biology workflows, and generate high-quality transcriptomic, physiological, proteomic, and metabolomic datasets. This position offers
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molecular methods. • RNA-seq, transcriptomic analysis, or basic bioinformatics. About the Department Committed to innovation and diversity, the Medical School educates physicians, scientists, and health
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models to evaluate therapeutic efficacy and pharmacokinetic profiles. Gaining exposure to cutting-edge transcriptomic, proteomic, and "imageomic" (high-content image informatics) datasets, as