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well as collaborative work on the high-resolution structure of the podocyte slit diaphragm. The Oxford Kidney Pathology (Bull) Group have an interest in structurally informed analysis of kidney spatial transcriptomics
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(e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing, transcriptomics data, Nanopore long read sequencing analysis and/or
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isolation, sequencing library preparation, quality control, transcriptomic analysis, or other omics-based approaches, are strongly encouraged to apply. Excellent written and verbal communication skills
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Postdoctoral fellow within Microglia–Neural Circuit Interactions in Memory and Disease (PA2026/2262)
and microglial biology, using cutting-edge methodologies including: two-photon microscopy, miniatured microscope, optogenetics, behavioral phenotyping and transcriptomics. Work duties Lead independent
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antimicrobial susceptibility testing, particularly physiologic-based methods. Familiarity with transcriptomic or proteomic approaches to study bacterial or host responses. Prior experience in working with animal
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Yale School of Medicine - Department of Genetics | New Haven, Connecticut | United States | 2 months ago
tracing, and/or cancer models Experience with single-cell/single-nucleus genomics and spatial transcriptomics Computational analysis skills in R and/or Python A record of first-author publication To apply
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original bioinformatics research involving large-scale public datasets involving genomic, transcriptomic, proteomic, metabolomic, interactomic, structural, or single-cell multi-omics data. This position is
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transcription, RNA biochemistry, protein-RNA interaction, protein-protein interaction, and/or bioinformatics analysis of transcriptomics data is required. The successful candidate will explore fundamental
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integrating multi-omics (single-cell RNA- and ATAC-seq, spatial transcriptomics) and genetics to understand the biology of human aging, with a focus on neurodegenerative diseases and personalized medicine. Job
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assays, single-cell transcriptomics, and HLA-immunopeptidomics. You will identify how ERAP2 variants and small-molecule modulators alter the peptidome on EBV-infected B cells and how this shifts