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reproducible analysis pipelines (QIIME2, R, Python, or equivalent). Perform DNA extractions, barcoding, and library preparation for amplicon, and prepare metagenomic sequencing. Collaborate with a diverse team
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workflows using SQL, Python, and related tools. Use cloud-based data tools (e.g., OCI, Azure) as needed for data processing and analysis. Ensure compliance with data governance standards and maintain metadata
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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strong programming skills in Python, and experience in at least one of the following areas: virtual reality development, machine learning, analyzing and modeling complex data, motion capture, character
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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for large relational databases using SAS, R, Python and/or SQL. Demonstrated oral and written communication skills, and the ability to present scientific findings in various formats and to compose manuscripts
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voluntary tax-deferred savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http
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to the investigatory activities of the laboratory. Writes simulation software in Python and C++ for protein structure simulations and use of Artificial Intelligence (AI) driven prediction tools. Generates and analyzes
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The Laboratory for Biomolecular Simulation Research (http://lbsr.rutgers.edu ) and Institute for Quantitative Biomedicine (https://iqb.rutgers.edu/ ) at Rutgers, the State University of New Jersey, is seeking 2
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, Skills, and Abilities Proficiency and knowledge of multiple statistical software packages preferred, such as SPSS, SAS, R, python, etc. Must be computer literate with proficiency and working knowledge