31 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at New York University
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position is part of a project to investigate the brain mechanisms of vision and visual development. The studies will involve a combination of approaches including neurophysiology, neuroanatomy, behavior, and
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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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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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collaboratively within a team. Applicants must have a PhD in materials science and engineering, chemical engineering, or related field. Excellent experimental and analytical skills relevant to the project (in
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teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. The Department of Chemical and Biomolecular Engineering at NYU Tandon is home to
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by August 2025. 1. Please upload verification as an additional document in the document upload section. 2. Earned PhD in nursing or health-related field and a strong work ethic and commitment
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should have a PhD in Computer Science, engineering or related fields; Applicants should submit a cover letter, a current CV and a list of three references with complete contact information. All application
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to conduct fundamental research in the broad areas of virtual and /augmented reality (VR/AR), computer graphics/vision, generative AI, and neural rendering. Candidates will be making contributions to one
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within any of the relevant disciplines of the humanities, social sciences, and computer sciences are welcome to apply. The ideal candidate is a postdoctoral scholar seeking to examine and develop research
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seeks to recruit a Postdoctoral Associate to work in the field of geotechnical engineering. Required Qualifications: The ideal candidate will hold a PhD in Geotechnical Engineering, Civil Engineering, or