1,811 parallel-computing-numerical-methods "MIT" Postdoctoral positions in United States
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and delay-differential equations. Scientific computing and numerical analysis Large-scale dynamical systems High-performance computing Parallel numerical algorithms GPU computing Strong programming
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Cambridge, MA, USA, MIT Sloan School of Management seeks applications for a post-doctoral fellow with a strong research interest in Voluntary Carbon Markets. This is a full-time position starting in
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Cambridge, MA (USA), MIT Sloan School of Management Post-Doctoral Fellow Section: US: Other Academic (Visiting or Temporary) Location: Cambridge, MA, United States JEL Classifications: H – Public
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postdoctoral appointee to develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel
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, or a related field. Experience with numerical discretization methods for partial differential equations. Experience in computational modeling of geomechanical systems. Knowledge of continuum
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Cambridge, MA, The MIT Climate & Sustainability Consortium (MCSC) Impact Fellowship Program engages postdoctoral individuals with climate and sustainability objectives to contribute to the impact
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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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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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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