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Field
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working with human date and experience analysing large-scale omics datasets (e.g., proteomics, transcriptomics, genomics, metabolomics, or related high-dimensional biological data) are desirable
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(plant) molecular genetics, microscopy, and cell biology are required. Previous experience with model grass species, (plant) signalling, protein biochemistry, or single-cell/spatial transcriptomics is an
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-generation sequencing and single-cell technologies (e.g., scRNA-seq, scATAC-seq, scTR-seq, and/or spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable
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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: Please send a
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, scATAC-seq, scTR-seq, and/or spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable. The Postdoc is expected to collaborate closely with experimental
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of neuronal populations, imaging, flow cytometry, single-cell RNA sequencing, spatial transcriptomics, and functional neuro-immune assays. Your position We are looking for a highly motivated postdoctoral
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: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary Baylor College of Medicine is seeking a highly motivated Postdoctoral Research Associate for an integrative analysis of transcriptomic
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
properties from human samples; and spatial transcriptomics/proteomics and morphological analysis of human lung tissue. Education and Experience: Preferred qualifications include: An understanding of pulmonary
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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