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Field
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candidate will work with Dr. Paulsson to develop an independent research project within the scope of the lab's research focus. In addition to carrying out bench research on RNa assays and microscopy
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communication skills. Preferred Genome-wide association studies (GWAS) Statistical genetics and polygenic scores Single-cell RNA-seq, proteomics, or other multi-omics analyses Artificial intelligence and machine
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Carry out data analysis of spatial transcriptomics data (including integration of publicly available single-cell RNA sequencing datasets from coronary plaques) using computational analysis Analyse
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://med.uc.edu/zhanglab ) currently focuses on elucidating the role and molecular mechanisms of gene- and tissue-specific transcriptional cofactors and small RNAs in liquid-liquid phase separation (LLPS) and the
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technological breakthroughs to explore the biology of complex systems. Principal Responsibilities include 1.) Design and implement reusable bioinformatics analysis pipelines for processing RNA-seq, single-cell
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
interactions. These directives require a multifaceted approach involving physiological, biochemical, and molecular experiments and the use of numerous techniques such as RNA-seq, data mining of DNA and protein
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the at least one of the following high-dimensional data-types: GWAS, RNA-sequencing, proteomic profiling, behavioural, etc. For this project, the ability to work with video, text, language modalities is
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knowledge of basic bioinformatics analysis (e.g., RNA-seq analysis, public dataset mining, pathway analysis) is preferred. A strong collaborative mindset. This is a one-year postdoctoral appointment, with
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Comprehensive multi-omics datasets including genomics, transcriptomics, epigenomics, CUT&Tag, single-cell RNA-seq, multiome and spatial transcriptomics Functional genomics platforms using CRISPR technologies
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datasets, including RNA-seq, ATAC-seq, ChIP-seq, and single-cell or single-nucleus sequencing data. · Present research findings at laboratory meetings, scientific conferences, and national