13 developer-"https:" "https:" Postdoctoral positions at New York University in United States
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collaboration with Profs Carlos Fernandez-Granda, Joan Bruna, Laure Zanna, the successful candidate will focus on developing methods to capture and understand generalization in AI emulators, in particular
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Zanna, the successful candidate will focus on developing generative machine learning models for complex dynamical systems for probabilistic forecasts. The postdoc will be expected to lead independent
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. Michael Muthukrishna are jointly recruiting a Postdoctoral Associate working across their two labs at NYU starting this summer. You will be working at the intersection of cultural evolution, computational
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the Chemistry Department of NYU is seeking to recruit one postdoctoral associate interested in working on synthesis of complex natural products or new methodology development. This position is based in New York
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particular emphasis on near-field propagation regimes relevant to ultra-massive MIMO systems. The candidate is expected to develop physically-consistent narrowband and wideband signal models
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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using
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and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. The Hubbell Research Group focuses on developing cutting-edge biomaterials and
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statistical and computational analysis Contribute to proposal writing Complete project tasks by assigned deadlines Prepare and publish in peer-reviewed journals Present at conferences Submit computational tasks
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on experience. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer. Key Responsibilities System Development
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 27-Jan-26 Location: New York, New York Categories: Academic/Faculty Internal Number: 179354 The Church Evolution