70 computational-physics-"https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Rutgers University
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Mentor, to support the general functioning of their biomedical research laboratory, and to fulfill the research and teaching requirements of the Rutgers IRACDA, INSPIRE Postdoctoral Training Program. Among
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science required. Consideration to interview will also be given to applicants who are in the process of completing their Ph.D. or M.D. degree in Biology, Immunology, Cell Biology or a relevant science
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: 278296 Minimum Education and Experience: Minimum Education: Ph.D. in chemistry, physics, computer science, or a related field, or Ph.D. expected by May 2027. Experience: Demonstrated experience in at least
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data integration (EEG + imaging/behavior), preferred. Track record of peer-reviewed publications, preferred. Interest in developing an independent research program, preferred. Equipment Utilized Physical
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published works. Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Sitting, standing
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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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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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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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Center for Computational Cognitive Neuro-Psychiatry (CCNP; https://ccnp.princeton.edu/about-ccnp/ ), including through an NIH-funded center on Latent Cause Inference (https://lci-conte.pni.princeton.edu
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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