355 molecular-modeling-or-molecular-dynamic-simulation positions at Rutgers University
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among employees. Rutgers–Camden is recognized as a national model for civically engaged urban universities and was selected by the Carnegie Foundation for the Advancement of Teaching for a Community
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Internal Number: 273086 Minimum Education and Experience: This position requires a PhD or equivalent and experience with the C. elegans model system. City: Piscataway State: NJ Location: Rutgers University
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team. The successful candidate will work closely with the Principal Investigator (PI) on research related to generative AI and large vision-language models. Position Status Part Time Posting Number
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collaboration among employees. Rutgers–Camden is recognized as a national model for civically engaged urban universities and was selected by the Carnegie Foundation for the Advancement of Teaching for a Community
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. Facilitate laboratory and simulation-based education. Advise and mentor students through research projects, guiding clinical question development, literature appraisal, and dissemination of findings. Evaluate
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communication, critical thinking and administrative skills. Ability to meet expectations in a fast-paced and dynamic customer-oriented environment with flexibility to accommodate adjusting priorities. Sensitive
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one programing language (e.g., R, STATA). · Excellent quantitative analytical skills, particularly in longitudinal modeling, administrative data analyses, and causal inference methods. Understanding
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the American Board of Dermatology; must include current medical licensure and appropriate medical staff appointment; must include ongoing clinical activity; and, A program director is a role model for faculty
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discount programs Posting Summary The division of Maternal Fetal Medicine in the department of Obstetrics, Gynecology and Reproductive Sciences at Rutgers Robert Wood Johnson Medical School seeks a dynamic
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(SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is