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University of California, Los Angeles | Los Angeles, California | United States | about 14 hours ago
doctoral degree in Bioinformatics, Computational Biology, Genomics, Biostatistics, Data Science, Computer Science, Biomedical Engineering, or a closely related quantitative field is required. Research
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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in deploying advanced bioinformatics approaches to diverse tissue-derived datasets acquired from people with immune-mediated inflammatory diseases – with an emphasis on inflammatory arthritis. We
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quantitative proteomic data with a degree of statistical rigour using common freely available software packages; proficiency in handling large datasets including bioinformatics and biostatistics; and knowledge
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Carrasquillo Lab, National Center for Complementary and Integrative Health, National Institutes of Health | Bethesda, Maryland | United States | about 1 month ago
, bioinformatics, and/or patch-seq to develop and apply multimodal approaches for understanding the cellular and circuit mechanisms underlying pain. Our laboratory combines molecular, cellular, systems, and
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in one of the following fields: molecular biology, biochemistry, transcriptomics, metabolism, bioinformatics or mass spectrometry. Preferred Qualifications Experience or interest in human FFPE tissue
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, Microbiology, Pathogen Biology, Bioinformatics, Computational Biology, Mathematics, Computer Science, or a related discipline. They should be responsible, self-motivated, attentive to detail, and a strong
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: RNA extraction, RT-PCR, in situ hybridization, and gene expression alteration (silencing, knock-down, transfection).Bioinformatics & imaging: transcriptomic analysis of candidate genes and confocal
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will closely interact with experts in microfluidics and bioinformatics, while spearheading the above project. Main duties and responsibilities include Optimization of single-cell sequencing workflows
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, exosome, EVs, organoid, microrna, lncrna, histone, methylation, molecular and cell biology, epigenetics, mouse model, and bioinformatics skills. Research experience in metabolic disorders specifically