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Field
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. Experimental techniques including mouse surgeries, immunofluorescence, Western blotting, genotyping, quantitative PCR, bioinformatics, and advance tissue clearing approaches may also be performed (after training
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Systems Duke University – Departments of Mathematics and Biostatistics & Bioinformatics Duke University invites applications for a postdoctoral associate in scientific machine learning (SciML) as part of a
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other disciplines, such as genomics, bioinformatics, and drug discovery. Analyze and interpret experimental data using statistical and bioinformatic tools. Prepare and present research findings in
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to gain practical experience implementing advanced bioinformatics and computational genomics tools in a unique collaborative setting and to establish a deeper understanding of precision medicine. In
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Research Assistant/Associate Professor (Proteomics and Bioinformatics), Non-Tenure Track - (220000I3) POSITION SUMMARY Location: On-site at the University of Maryland School of Pharmacy, Baltimore
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cancers. The training provides epidemiology and bioinformatics fellows with the specialized skills to incorporate novel high-throughput technologies into large-scale collaborative epidemiology studies and
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-departmental team of collaborative investigators with a broad research program related to the basic and translational sciences, genomics, epigenetics, and bioinformatics. The impact of the members of IGS
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-transmission electron microscopy. -Develop bioinformatics workflows for processing and analyze large data sets. -Perform key laboratory techniques such as PCR, molecular cloning, SDS-PAGE, and other basic
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undergraduates and graduate students. 70% - Laboratory Work / Bioinformatics in Population Genomics: Core responsibilities include DNA extraction, PCR, and library preparation for ddRAD and whole genome sequencing
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
cell biology, immunology, or bioinformatics is preferred. The postdoctoral fellow will study lipid metabolism in murine and patient samples across the tumor microenvironment with the possibility