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requirement. We also welcome applicants from computational biology, bioinformatics or related fields who have a solid background in quantum computing. Teaching or supervision experience is also a valuable
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | about 3 hours 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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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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Electrical Engineering is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop
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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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Institute of Mathematics represents the entire discipline of mathematics in research and teaching, without making an arbitrary separation into pure and applied fields. We are looking for an open
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with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflows. Demonstrated technical
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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