67 computational-materials-physics-"https:" Postdoctoral positions at Rutgers University
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of methodology and instrumentation and coordination of the analytical and instrumentation functions with research areas to ensure conformance with the goals and objectives of the research program. Assists in
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in an interdisciplinary team. Comfort working across the biochemistry-microbiology interface. Equipment Utilized Physical Demands and Work Environment Overview The School of Environmental and
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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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, Cell Biology, Biochemistry, Bioinformatics, Computational Physics, or a related field. Background in either scientific computing or experimental design required. Consideration to interview will also be
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are the following: Obtain and maintain regulatory approval. Set up screening algorithms to identify eligible participants. Recruit participants, collect/ process samples. Design data collection tools (e.g., redcap
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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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learning and quantum information science. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics, computer
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project manager for the Ellison and Brand labs. Responsibilities include performing laboratory and computational experiments, writing and/or contributing to scientific manuscripts, and mentoring students
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contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and implementing computational models; preparing scientific
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contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and implementing computational models; preparing scientific