47 scientific-computing Postdoctoral positions at Rutgers University in United States
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/On Overview RUTGERS CANCER INSTITUTE VISION, MISSION, AND CORE VALUES: VISION: Through our science, our evidence-based actions, our openness, and our respect for those we serve, we will advance cancer-focused
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guidance to residents, junior research assistants, graduate students and student workers in the laboratory. The Postdoctoral Associate is responsible for the scientific operations of the laboratory and
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RUTGERS CANCER INSTITUTE VISION, MISSION, AND CORE VALUES: VISION: Through our science, our evidence-based actions, our openness, and our respect for those we serve, we will advance cancer-focused research
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Minimum Education and Experience: · PhD in oceanography, atmospheric science, geophysics, economics, computer science, statistics, or a related discipline at time of appointment; · Familiarity with
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Associate will assist with scientific operations of the laboratory; and submit grant applications to obtain independent research funding. Among the key duties of this position are the following: Conducts
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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Overview RUTGERS CANCER INSTITUTE VISION, MISSION, AND CORE VALUES: VISION: Through our science, our evidence-based actions, our openness, and our respect for those we serve, we will advance cancer-focused
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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-derived human neurons. The applicant should have strong background in neuroscience and/or biomedical engineering or computer science. The applicant should be able to perform small animal surgeries
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execute experiments, analyze complex data sets, and interpret physical measurements. Experience with vacuum-based systems, surface or solid-state characterization, and scientific computing is preferred