123 cloud-computing-"https:" "https:" "https:" "St" "St" Postdoctoral research jobs at Rutgers University
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Equipment Utilized High-performance computing; cloud computing; local workstations. Physical Demands and Work Environment Work will be performed in an office setting. Applicants must be physically capable
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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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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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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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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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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
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savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu
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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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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a