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Details Posted: 31-Mar-25 Location: New York, NY Categories: Academic/Faculty Internal Number: 165609 The Urban Systems Lab is seeking a Postdoctoral Associate in Machine Learning to develop and
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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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-reviewed publications. Prior experience with biological network analysis and practical application of a variety of machine learning and computer vision techniques is preferred. The successful candidate will
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record of peer-reviewed publications. A background is required in computer programming (including Julia and/or C/C++), applied mathematics and statistics. Please upload your application materials via
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for an individual to be appointed as a postdoctoral associate under the supervision of Prof. Mark Tuckerman. The research will focus on the use of classical and quantum molecular simulation and machine learning
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teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. In compliance with NYC?s Pay Transparency Act, the annual base salary range
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experience in one or more of the following areas: Database systems and big data management Data visualization and visual analytics Machine learning and artificial intelligence Social Media and Hate Speech
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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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via autophagy and lysosomal targeting in learning and memory and disease models using rodents and iPSC-derived cell cultures. These mechanisms will be investigated in both healthy conditions and
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, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race