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Field
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variation to gene regulation and traits, working with large multi-omics datasets generated across the consortium. In particular, you will: Assemble, harmonize, and curate large-scale genomic, transcriptomic
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. trachomatis or other genetically intractable obligate intracellular bacterial pathogens, immune signaling, and transcriptomic analyses of host-pathogen interaction. Candidates should submit their application
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with single-cell or spatial transcriptomics, or other multi-omics modalities. Familiarity with drug target discovery, target validation, or pharmacoepidemiology. Experience contributing to international
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analysis. Small molecule isolation using chromatography. Genome and transcriptome analysis. What You Need to Know Position Funding: This position is grant funded and availability is contingent on grant
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projects and literature review. Design innovative machine learning and statistical models to analyze and integrate large multi-omics datasets (such as genomics, transcriptomics, proteomics, prior knowledge
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of spatial transcriptomics and image analysis software for segmentation Experience in working collaboratively as part of a team Downloading a copy of our Job Description Full details of the role and the skills
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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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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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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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of molecular networks in cancer to advance precision medicine. By integrating high-throughput data (e.g. transcriptomics, proteomics, metabolomics) with prior knowledge of molecular interactions, we construct