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sequencing, Hi-C, and other protocols bioinformatic and statistical analysis of complex datasets that include numerous types of data including 16S, metagenomic, metatranscriptomic, and enriched metagenomic
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Code 9703DE Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job This Bioinformatics Engineer position is integral to the UMGC's operations, directly supporting the
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Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Responsibilities 50% – Execute and Maintain Bioinformatics Pipelines Run established pipelines for whole genome sequencing
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, setting up and evaluating large field experiments for disease control, performing molecular biology, bioinformatics, and statistical analyses on experimental data. Preferred Qualifications: Experience with
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: • Expertise in metabolic research. • Experience with in vivo mouse models. • Proficiency in bioinformatics, proteomics, metabolomics, or other large-scale data analysis. • A track record of presenting
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Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Summary: This position involves the testing, evaluation and application of advanced bioinformatics tools for analysis
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bioinformatics. Post-Doctoral Associates conduct research and/or service that provides further development of career skills or allows them opportunities to learn new research techniques. They are trained by and
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creating gene knockout mutants. Data analysis includes bioinformatics (sequence data analysis) and statistical analysis. 30% Laboratory management: Order laboratory supplies, maintain lab equipment, organize
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, bioinformatics or similar degree or an equivalent combination of education and relevant research experience to equal four years. Proficiency in SQL (Structured Query Language) Experience with database security
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Proteomics (anticipate approximately 5% time on this project) LC-MS/MS proteomics bioinformatics. multi-omics integrations. Project 5. Osteosarcoma integrated single cell transcriptomics and spatial genomics