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Field
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an independent research program. Under the guidance of senior lab personnel, the successful candidate will master essential wet lab methodologies and utilize advanced bioinformatics pipelines to advance both
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highly motivated Postdoctoral Scholar in computational biology, bioinformatics, and cancer genomics. The successful candidate will contribute to multidisciplinary research focused on cancer genomics
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field. Strong record of creative and productive research (publications, presentations). Experience in molecular biology, RNA biochemistry, and bioinformatics is an asset. Interest in participating in
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at Baylor College of Medicine. Dr. Ratnapriya's lab focuses on harnessing the power of genomic technologies to address translational and clinical bioinformatic challenges pertaining to retinal and macular
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records, analyzes research data, and summarizes results. Bioinformatics and Data Integration Performs quality control and trimming of raw sequencing reads; aligns reads to host and bacterial reference
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such as flow cytometry, confocal microscopy, MRI/PET imaging and bioinformatics tools. Work with team members across different disciplines such as chemistry, biology, neurosurgery, and engineering. Write up
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conditions. Bioinformatics skills relevant to genomics-driven natural products discovery, including genome mining, biosynthetic gene cluster analysis, sequence alignment, and annotation. Strong quantitative
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with human pluripotent stem cells, high throughput screening, genome editing (CRISPR/Cas9), rodent microsurgery, and bioinformatics datasets is a plus. Knowledge, Skills and Attitudes: Cell culture
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Experience Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Physics, Biomedical Sciences, or a related quantitative field or an M.D./Ph.D. / M.D. with a strong computational
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-performance computing, bioinformatics or evolutionary theory. Required skills are; commitment to ethical conduct of research, self-motivation and independence, good documentation habits and a track record of