118 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" Postdoctoral positions at Rutgers University
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execute experiments, analyze complex data sets, and interpret physical measurements. Experience with vacuum-based systems, surface or solid-state characterization, and scientific computing is preferred
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Number: 269896 Minimum Education and Experience: The individual must have completed a PhD in biology, biochemistry, molecular biology, or metabolic engineering with extensive computational research and lab
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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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, behavioral, and lifestyle factors that influence cognitive aging and Alzheimer’s disease risk. We have an extensive community engagement program in the greater Newark area that recruits older African Americans
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. Under the direction of the Director of PopQuIS, Program faculty, and designated mentors, the Post Doctoral Associate conducts specialized research, literature review and integrates a primary care
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Position Status Full Time Working Hours 37.5 Standard Hours 37.50 Daily Work Shift Work Arrangement
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written communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and PowerPoint. Background in biochemistry, cell
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, geography, urban informatics, or a similar field with suitable analytic skills to conduct transportation analysis. The ability to conduct qualitative research and organize and run focus groups is essential
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curriculum vitae, and names and contact information for three references. Applications will be reviewed on a rolling basis until the position is filled. Quick Link to Posting https://jobs.rutgers.edu/postings
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with metabolomics workflows (LC-MS, GC-MS) and integrative multi-omics analysis. Knowledge of statistical modeling and systems biology approaches. Experience with HPC or cloud computing environments