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how to use the software. Solid understanding of neuromorphic computing and SNNs, including common neuron models (e.g., leaky integrate-and-fire) and SNN training or conversion methods (e.g., spike
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with expertise in quantum many-body theory, open quantum systems, or quantum information. Experience with advanced numerical methods for quantum systems, stochastic or phase-space techniques, high
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and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific datasets, scientific programming, and the
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formal verification with Lean You have experience AI-assisted theorem proving or algorithm discovery is an asset You have working knowledge of numerical analysis, ideally numerical methods for PDEs You
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Cambridge, Massachusetts, POSTDOCTORAL ASSOCIATE , MIT Climate Project , to advance interdisciplinary research and innovation addressing urgent energy and climate challenges. Will identify emerging
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; demonstrated expertise in deep learning, preferably as applied to audio; and traditional signal processing. PREFERRED : Computational expertise: Experience with Pytorch, use of high-performance computing
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Cambridge, Massachusetts, The MIT Sloan School of Management and Social and Ethical Responsibilities of Computing (SERC) in the Schwarzman School of Computing jointly seek to hire a Postdoctoral
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Cambridge, Massachusetts, POSTDOCTORAL ASSOCIATE, AI IN EDUCATION , MIT Blueprint Labs , to help lead research exploring the impacts of AI in US education systems. Blueprint uses data and economics
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Responsibilities of Computing ( SERC ) , will focus on generative AI and reasoning through the lens of social and ethical responsibilities of computing; provide supervision and guidance to students, and researchers
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studies. The position is a full-time, one-year appointment based at MIT in Cambridge, MA. We will begin reviewing applications on November 1, 2026. Applicants must upload a curriculum vitae (CV) as