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bioinformatics pipelines for the routine analysis of amplicon and long-read DNA sequences obtained by Nanopore sequencing Analysis of metagenomic and amplicon sequencing DNA data. Writing and publication
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20241144F Position Title
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studies fundamental processes in endothelial cells driving cardiometabolic diseases including atherosclerosis, thrombosis and type 2 diabetes. In particular, the team interrogates the role of endothelial
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EMS mutagenesis protocols in plants. Prior work involving biochar, soil amendments, or sustainable forestry applications. Experience with R, Python, or other bioinformatics tools for omics data analysis
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs
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Python, TensorFlow, PyTorch, or similar frameworks. MS or higher degree (PhD preferred) degree in Computational Neuroscience, Computer Science, Bioinformatics, or a related field with demonstrated ability
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· Strong skills in cell culture and/or C. elegans culture. · Proven success in publishing research papers. · Expertise in virology is a plus. · Expertise in bioinformatics is a plus. Special Instructions
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required. Preference will be given to individuals with hands-on experience in RNA and/or epigenetic technologies. Bioinformatics or animal management skills are a plus. The Herman B Wells Center
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. Familiarity with scRNAseq, bioinformatics tools, and the analysis of large datasets is desirable but not required. If you are enthusiastic about pursuing innovative research in pediatric HIV and immunology and
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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