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Field
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distinct NR2F1 dosages to study their effects across neuronal differentiation. By integrating time-resolved bulk (RNA-seq, ATAC-seq, ChIP-seq, Hi-C) obtained from neuronal lineages cultured in 2D cells and
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take approaches combining mouse developmental genetics, cell-type-specific viral tracing, ex vivo electrophysiology, opto/chemogenetics, in vivo imaging, single-nucleus RNA sequencing (snRNA-seq), and
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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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. Additional basic laboratory skills in handling clinical samples (e.g. FFPE tissue, blood), preparation of samples for scRNA-seq and DNA/RNA extractions will be desirable. Enquiries about the duties of the post
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longitudinal single-cell and spatial atlas of human kidney adaptation, combining single-cell RNA-seq, spatial transcriptomics, and single-cell ATAC-seq with deeply phenotyped clinical cohorts You will help
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elegans (C. elegans) as a model system with approaches including: Quantitative genetics (GWAS/QTL mapping) High-throughput phenotyping RNA-seq and multi-omics integration Functional genomics (e.g., RNAi
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-based methods such as RNA-Seq and ChIP-Seq is expected, Experience in microscopy, scRNA-Seq, FACS, and CRISPR-based cell line engineering is desirable but not required; candidates without prior experience
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degenerative diseases. Focuses heavily on analysis of high-throughput bulk and single-cell multi-omic data (ATAC-seq and RNA-seq) in ocular tissues. Performs other job-related duties as assigned. Minimum
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
requires utilizing Python and R to process complex RNA-seq datasets, including differential gene/isoform expression and isoform switching. The researcher will also engage in cancer genomics workflows
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
work at the interface of academia and industry processing, analyzing and interpreting single-cell RIBOseq and RNA-seq data to build a comprehensive knowledge base for ovarian cancer target discovery