116 parallel-computing-numerical-methods-"https:" Postdoctoral positions at Rutgers University
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computational analysis of genome sequencing data in the Ellison laboratory. Position Status Full Time Posting Number 25FA1089 Posting Open Date 10/31/2025 Posting Close Date Qualifications Minimum Education and
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generate ideas for improving people's lives. Connections working at Rutgers University More Jobs from This Employer https://main.hercjobs.org/jobs/21931892/robert-curvin-postdoctoral-associate-in-urban
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renewable for two additional years pending productivity, performance, and overall fit. The postdoctoral program enables associates to build a high caliber scholarly portfolio in LGBTQ+ public health research
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other substance use disorders. Mentorship for developing research ideas, designs, and methods, conducting clinical trials, and writing grants will be provided. Clinical opportunities and supervision
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board (IRB). Prepares data for timely completion of all requirements of grant reporting including correspondence, progress reports, program evaluations, and other related reports. FLSA Exempt Grade Salary
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mammalian or microbial systems, preferred. Familiarity with computational analysis or coding (e.g., R, Python), preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing
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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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environmental and pharmacoepidemiological research methods and programming skills for large relational databases. This is a two year position that will be supported by an active NIH funding. The successful
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such, we educate, make discoveries, serve as an engine of economic growth, and generate ideas for improving people's lives. Connections working at Rutgers University More Jobs from This Employer https
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research laboratory, excellent communication skills, excellent computer literacy. This research over a large span of life science topics and technical approaches, including genetics, biochemistry, cell