78 parallel-computing-numerical-methods Postdoctoral positions at Rutgers University in United States
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implementation science theories and methods. Excellent interpersonal, verbal, written communication, and organizational skills. Experience with institutional review boards (IRB). Preferred Qualifications Prior
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, walking, reaching, kneeling, talking and hearing. Ability to lift up to 25 lbs. WORK ENVIRONMENT: Scientific research laboratory. Computer data input. Universal safety precautions are mandatory. Lab
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interventions for the psychological and social needs of individuals served. The Postdoctoral Associate will provide psychological testing as required by the program to increase our understanding of the issues
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surface and geological processes. The postdoctoral researcher may focus on one or more of these areas. The application and development of AI/ML methods to enhance and accelerate research is also encouraged
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a strong computational background and extensive experience developing high-throughput systems for quantitative analysis of behavior and aging, allowing us to connect neural and molecular mechanisms
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, reaching, talking, and hearing. Lifting to 25lbs. Computer work. Work Environment: Open office environment, laboratory environment with human research data collection. Overview Statement Posting Details
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, understand, and communicate in English sufficiently to perform job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and
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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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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