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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Hill seeks a computational postdoctoral researcher to develop and apply methods for integrating single-cell sequencing and imaging data within controlled cell-line model systems. The project focuses
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cognitive operations in existing data, label these operations, and then train transformer models to predict sequences of operations in unseen data. Please see Weindel, Borst, & van Maanen, eLife, 2025
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RNA sequencing and chromatin accessibility profiling . Colocalization and Mendelian Randomization between genetic signals in endothelial cells and GWAS signals for vascular phenotypes. Integration with
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their PhD within the last 2 years at the time of application. Expertise Hands-on expertise in circular RNA (circRNA) biology — validation (divergent RT-PCR, RNase R resistance, back-splice junction sequencing
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preparation protocols for NGS and Oxford Nanopore sequencing, organising, recording and overseeing the handling of biological samples, performing preliminary analysis and interpretation of sequencing data
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. Experience in virology, cell biology, and gene silencing techniques. RNA biochemistry, molecular biology, and pertinent bioassays. PREFERRED QUALIFICATIONS Experience with RNA sequencing (RNA-seq) techniques
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quality control and initial data handling for next-generation sequencing datasets. The successful candidate will independently interpret QC metrics, troubleshoot sequencing issues, and support the growing
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. This position will focus on designing, optimizing, and implementing chemical biology and sequencing-based approaches to better understand how RNA structure and dynamics influence protein recognition
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origin mapping, translocation-capture sequencing and 3D genome architectural analyses, supported by our established in-house computational pipelines. Interested candidates should hold a PhD, or be close
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Do you want to combine high-throughput directed evolution with machine-learning analysis of deep sequencing data to engineer better antibodies? The Sormanni Lab in the Department of Chemical