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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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Population Sc 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
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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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medical, sociodemographic and diagnostic information. Edits data, checks printouts, codes and prepares data for upload to main database. Performs basic functions on the computer in Microsoft programs
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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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related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with transformer architectures (e.g., ViT
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking two
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; computer software/hardware; presentation software; microscopes. Physical Demands and Work Environment PHYSICAL DEMANDS: Standing, sitting, walking, talking, and hearing. No special vision requirements
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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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