7,294 parallel-computing-numerical-methods "Institute of Computer Science" Postdoctoral positions
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | 18 minutes ago
, Canada Simon Fraser University’s Department of Mathematics invites applications for a postdoctoral fellowship in scientific machine learning and numerical methods for weather prediction. The fellow will
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, mathematics, computer science, or another relevant field, awarded no more than two years before the application deadline. Have a solid background in quantum computing and quantum algorithms, sufficient to
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intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art
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mixed-precision, energy-efficient, and accelerator-optimized methods — for large-scale numerical, scientific, and/or AI models. Demonstrating the scalability of new algorithms on leadership
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Cambridge, Massachusetts, POSTDOCTORAL ASSOCIATE , Center for Sustainability Science & Strategy (CS3) to join an international team of scientists working as part of the global AGAGE network and a
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, Human Physiology, Chemistry, Physics, Computer Science, or related discipline from an accredited institution of higher education. • Evidence of successful mentoring of trainees at any level (e.g
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Mathjobs.org | about 1 month ago
Group Introduction The Hai Zhu Group conducts research in numerical methods and scientific computing. Research interests include, but are not limited to, numerical methods for partial differential
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Group Introduction The Hai Zhu Group conducts research in numerical methods and scientific computing. Research interests include, but are not limited to, numerical methods for partial differential
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Mathjobs.org | about 1 month ago
analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas, together with research experience in at least one class of modern generative models, are
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analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas, together with research experience in at least one class of modern generative models, are