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career path. The planned position will provide a transition to career independence through the development of professional skills; supervision by senior scientist incorporating individual development plan
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will focus on the prediction of genetic interaction networks and image analysis for automated phenotyping. We welcome interest in developing both ongoing and novel research projects in the lab, and are
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. The processes involved in triggering outbursts, using optical monitoring and the real-time pipeline X-ray Binary New Early Warning System (XB-NEWS) developed at NYUAD, and comparisons to AGN and other compact
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Local Development Lab" (WILD Lab), aims to deepen our scientific understanding of the impacts of urban land use and infrastructure practices on wild animal welfare and provide a basis of evidence to
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work on the development of the fabrication processes on major fabrication and characterization systems in the lab. The expected outcome is foundational fabrication processes for realizing advanced
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well as market and organization considerations. Education: Ph.D. in machine learning, computer science, engineering, science or related technical discipline. Experience: Expertise in developing and training AI
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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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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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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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to state-of-the-art computing resources and research equipment Opportunities for professional development and networking Collaborative and innovative research environment If you have any questions, please