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Field
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use of molecular assays such as real-time PCR and next-generation sequencing to study the prevalence of infectious diseases in the target study populations. Learning about sample testing under a
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existing tools to utilize existing data to better understand this unique planet population and establish scientific links between main sequence and white dwarf planet populations. Participates in
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, isolation and identification of bioactive compounds from microbes and/or plants, microbial cultures, and molecular biology skills such as PCR, RT-qPCR, RNAi, cloning, and sequencing. Point of Contact Janeen
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include electron microscopes, flow cytometer and fluorescent activated cell sorter, confocal microscopes, DNA, RNA and protein sequencing and syntheses labs, a mass spectrometer lab, and facilities
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 2 months ago
both the NCRC in Kannapolis and UNC Charlotte in Charlotte. Experience in yeast genomics, RNA-sequencing, bioinformatics, or machine learning is preferred. Departmental Preferred Experience, Skills
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Lab of Plant Biodiversity at Harvard University is seeking an exceptional postdoctoral researcher (or research associate) to work with us on the sequencing, identification, and analysis of comparative
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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, molecular biology, biochemistry and cell biology, chemical biology, immunology, functional genomics, signal transduction, single-cell sequencing, spatial sequencing, metabolism, drug development, structural
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neutrophil biology. Proficiency in analyzing large-scale single-cell RNA sequencing datasets. Experience with R programming and familiarity with relevant bioinformatics packages (e.g., Seurat, Bioconductor