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Field
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of multi-dimensional epigenetic, transcriptomic, genetic and functional genomics data. The Postdoctoral Associate will be expected to participate in the configuration and maintenance of data bases necessary
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to create “A Spatial Transcriptomic Atlas of Embryo-Endometrial Crosstalk During Implantation and Human Embryo Development”. This position is funded by a new collaborative grant between the laboratories of Dr
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syndrome (MODS), and critical illness. The successful candidate will lead innovative projects integrating single-cell and bulk transcriptomics, epigenomics, and clinical data to identify immune mechanisms
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multimodal biomedical data, including combinations of clinical records, medical imaging, pathology, genomics, transcriptomics, proteomics, wearable/sensor data, or scientific text. Familiarity with foundation
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generating and working with large datasets (e.g., tissue RNA sequencing, single cell RNAseq, spatial proteomics or transcriptomics) Technical experience with primary cell culture and cell culture
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processes for genomic and transcriptomic research is also preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing, sitting, walking, talking and hearing. No special
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-seq, RNA-seq, ATAC-seq and spatial transcriptome data. We are also interested in developing modern statistical approach for integration of multi-omics datasets and causal inference to understanding
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team member. Preferred Qualifications Ph.D. in Immunology, Microbiology, Molecular Biology, or related field. Strong background in immunological techniques. Experience in genomic and transcriptomic
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that includes next generation sequencing - DNA and transcriptome, chromosomal microarrays, cell culture, qPCR, gene regulation assays, 3D chromatin structure. Prior experience in the area of developmental
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for Alzheimer’s, Parkinson, and Dystonia as well as to identify novel proteins and pathways implicated on disease pathogenesis. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics