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We are seeking to appoint a well-trained, enthusiastic and self-motivated scientist to join our team to investigate the mechanisms underlying the function of non-canonical RNA/DNA structures (R
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sequence alignment methods is a plus. You will focus on developing efficient indexing methods for the analysis of large-scale DNA sequence data. Research project 2. This interdisciplinary project focuses
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parameters from parasite genetic data; cf., viral genomic epidemiology, where bifurcating trees capture the ancestry of DNA sequences, and human population genetics, where the ancestral recombination graph
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Lab in the Department of Biochemistry. This exciting project will explore how DNA replication and transcription machinery interact, and the molecular mechanisms that protect genome integrity during
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sequence alignment methods is a plus. You will focus on developing efficient indexing methods for the analysis of large-scale DNA sequence data. Research project 2. This interdisciplinary project focuses
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team members • Conduct experiments using a variety of techniques including molecular cloning, DNA mutagenesis, vector production, qPCR, RT-qPCR, Southern and Western blotting, FACS, tissue cultures, and
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culture, DNA extraction, MinION sequencing, analysis of strain viability and fertility) -Scientific publication writing. -Implementation of new approaches in evolutionary genomics. -Implementation
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
contribute to ongoing NIH-funded research analyzing nanopore DNA and RNA sequencing in the context of variant calling and analysis to support molecular diagnostics in pediatric cancer. A primary focus will be
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. Multiple projects are available in the area of liquid biopsy, including work on circulating tumor DNA (ctDNA) and cell-free RNA (cfRNA). Projects can be bench-focused, computational, or a combination of both
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Albert Einstein College of Medicine (Bronx, NY) | New York City, New York | United States | 14 days ago
, translational, and clinical studies to uncover mechanisms linking inflammation, DNA damage, and stem cell aging to cancer initiation and progression. Using murine and humanized models, human patient samples