123 parallel-processing-bioinformatics "https:" Postdoctoral positions at Rutgers University
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on the MobilityNet project funded by the NSF (https://www.nsf.gov/awardsearch/show-award?AWD_ID=2411151 ). The objective is to assess the suitability of the tools being developed for transportation planners. This will
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required. High level of computer literacy required. Preferred Qualifications In-depth understanding and hands-on experience in RNA-seq and ChIP-seq sample preparation, data collection, and data processing
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an interdisciplinary research setting. Ability to work independently and in teams. Preferred Qualifications Equipment Utilized Computer (Microsoft Office) Physical Demands and Work Environment PHYSICAL DEMANDS: Frequent
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to breeding and maintenance of mouse colonies, and manipulation of animals according to approved experimental and institutional protocols (ex. injections, phlebotomy, surgery and euthanization). Minimum
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@sebs.rutgers.edu Quick Link to Posting https://jobs.rutgers.edu/postings/269896 Campus Rutgers University-New Brunswick Home Location Campus Cook (RU-New Brunswick) City New Brunswick State NJ Location Details Pre
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@sebs.rutgers.edu Quick Link to Posting https://jobs.rutgers.edu/postings/269896 Campus Rutgers University-New Brunswick Home Location Campus Cook (RU-New Brunswick) City New Brunswick State NJ Location Details Pre
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communicate in English to sufficiently perform the job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Must
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cloning and sequencing In-depth understanding of various genomic tools including sample preparation, data collection, and data processing, preferred. Experience in handling various genomic datasets
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Experience PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution. Certifications/Licenses Required Knowledge, Skills, and Abilities The position requires
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used; the Framework for Assessment of Changes To Sea-level (FACTS; https://www.fact-sealevel.org/ ), an open-source sea-level projection framework initially developed by the lab, supported