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chromatography, bioinformatics workflow, and emerging applications in the field of small molecules. The postdoctoral associate will analyze data and present interpretations in group meetings as well as prepare
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single cell transcriptomic data. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including
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involve: Genomics & Bioinformatics: Programming, genome assembly, annotation, and phylogenomics. Cellular & Molecular Biology: Single-cell isolation, scRNA-seq, or multi-omics. Experimental Science
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Experience in bioinformatics would be beneficial, though not essential. Candidates must possess excellent verbal and written communication skills. Type Benefited Staff Special Instructions Summary Additional
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experience in a plant breeding program Proficiency in programming languages such as R and Python Familiar with bioinformatics tools Experience in analyzing genomic data Primary Responsibilities: Supporting and
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asset: microbiology of anaerobes and phages, assay development, functional genomics, generation and analysis of sequencing data, -omics techniques, bioinformatics, biochemistry, and analytical chemistry
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-resolution data collection, as well as complementary biochemistry, molecular biology, and bioinformatics resources. Position Number 4C0483 Department Microbiology & Cell Biology Division College of Agriculture
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, electrochemistry. Enzyme assays including enzyme kinetics (steady state and pre-steady state). Experience with bioinformatics, scripting phylogenetics. Does this position have supervisory responsibilities
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technologies such as bioinformatics, SAS; R-studio; experience designing and leading research experiments, supervising undergraduate student research assistants, and analyzing data and manuscript preparation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
. Postdoctoral fellows will have access to outstanding core facilities supporting genomics, proteomics, bioinformatics, flow cytometry, and advanced imaging, as well as rich professional training and mentorship