33 postdoctoral-image-processing-in-computer-science-"Multiple" Postdoctoral positions at New York University in United States
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protein engineering to investigate regenerative medicine and immunotherapeutics. Expectations Candidates will be responsible for the design and execution of computational and experimental studies to explore
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and Opportunities in Resilience, Energy, and Sustainability (SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating
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Postdoctoral Researcher to join our team in building next-generation Foundation Models for Science at NYU Courant and the Center for Data Science (CDS). You will join a team composed of domain scientists
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 26-Jun-25 Location: New York, NY Categories: Academic/Faculty Internal Number: 169560 The postdoctoral associate
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of virtual reality for research related to human ambulation, balance and gait analysis. The candidate must have prior research experience with virtual reality, computer graphics and animation, gaze detection
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and Environmental Studies is looking for a highly motivated and independent individual to work as a Postdoctoral Associate. This position is for a post-PhD trainee preparing for a research scientist
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at NYU?s Center for Genomics and Systems Biology is looking for a highly motivated and independent Postdoctoral Associate with training in Computational Science and Artificial Intelligence. This position
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Science Seeking "Expression of Interest" from postdoctoral researchers interested in Data Science at the Center for Data Science at NYU. The Center for Data Science (CDS) seeks to create a highly
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Postdoctoral Associate to investigate the neural mechanisms underlying continual learning in humans. The successful candidate will develop computational models examining the tradeoff between task
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hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender