20 postdoctoral-image-processing-in-computer-science Postdoctoral positions at New York University
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Program is currently seeking a Postdoctoral Associate to join an interdisciplinary research project focused on wild animals in highly urbanized environments. The project, called the "Wildlife Inclusive
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to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed
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Details Posted: 31-Mar-25 Location: New York, NY Categories: Academic/Faculty Internal Number: 165681 The Gibbs lab in the Department of Biology at New York University is seeking a Postdoctoral
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the Lab?s Director to advance hydrological and hydrodynamic modeling in urban areas, coordinate and communicate outputs and analysis, and work with a team of climate modelers to validate data and processes
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Details Posted: 18-Mar-25 Location: New York, NY Categories: Academic/Faculty Internal Number: 165047 Dr. Marcelo Mattar is hiring a Postdoctoral Associate to develop computational models of memory
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Details Posted: 23-Mar-25 Location: New York, NY Categories: Academic/Faculty Internal Number: 165332 We are seeking to hire a Postdoctoral Associate in psychology with a strong dedication to
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Details Posted: 17-Feb-25 Location: New York, NY Categories: Academic/Faculty Internal Number: 121347 Postdoctoral Associate positions are available to study circuits in the prefrontal cortex
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Computer Science, Data Science, Environmental Engineering, or a related field. Experience in deep learning, predictive modeling, and AI-driven decision-support tools. Strong programming skills in Python, TensorFlow
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research. About NYUAD NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and
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, computer science, engineering, statistics, or a related field at the time of the appointment; Strong programming experience; Strong interest in the application of machine learning to science and engineering problems