79 computational-physics "https:" "https:" "https:" Postdoctoral positions at Rutgers University in United States
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at the intersection of theoretical chemistry and machine learning. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics
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at the intersection of computational modeling, data science, and clinical medicine. The successful candidate will work closely with clinicians, intensivists, and computational scientists to develop
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biology approaches. Experience with HPC or cloud computing environments for large datasets. Equipment Utilized Physical Demands and Work Environment Overview Statement Posting Details Special Instructions
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Center of Excellence for Rapid Surveillance of Tobacco, the Tobacco Dependence Program, a Tobacco Industry Marketing Program, and a Tobacco Control Law & Policy Resource Center. Posting Summary Rutgers is
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learning. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics, computer science, or a related field is required
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functioning of their biomedical research laboratory, and to fulfill the research and teaching requirements of the Rutgers IRACDA, INSPIRE Postdoctoral Training Program. Among the key duties of this position
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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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Physical Demands and Work Environment No unusual demands Overview Statement Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu/postings/259899 Campus Rutgers
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duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and PowerPoint. Must have the ability to work collaboratively and
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inference methods in these data, assemble and summarize relevant literature, and will be encouraged to develop their own independent research program in maternal and child health and/or housing and