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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 month ago
Kannapolis and UNC Charlotte in Charlotte. Experience in yeast genomics, RNA-sequencing, bioinformatics, or machine learning is preferred. Departmental Preferred Experience, Skills, Training/Education
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or single nuclei RNA sequencing, including laboratory and analytic methods. The ideal candidate will perform both in vitro laboratory methods and bioinformatics analyses. Salaries are based
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Robotics and AI Fellowship (1 position available) Strategically aligned with our EPSRC-funded Doctoral Programmes (AgriFoRwArdS Centre for Doctoral Training and Doctoral Training Partnership). Approximately
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methodologies include cell culture, analysis of DNA damage and repair by microscopy and RNA-sequencing for splicing analysis. Main Duties The responsibilities may include some but not all of the responsibilities
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of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks that regulate
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out from our world class teaching hospital at the Flinders Medical Centre in South Australia to multiple rural clinical locations all the way to Darwin in the Northern Territory. Our research and
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. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The research project seeks to evaluate the effects of crop sequence within
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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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Previous experience with molecular cardiology, viral transduction, cell transfections, animal models, immunoblotting, qPCR, cardiomyocyte isolation, microscopy, proteomics, single cell RNA-sequencing