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neural network types for efficient hardware implementation Developing an FPGA-optimized design Performing device-aware training using both simulated and measured datasets Validation of the complete
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solving security assessment and optimization problems at unprecedented speed and scale. While high-performance computing (HPC) has become the backbone of large-scale power system simulation, emerging
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Position Description The Physics Department at National Cheng Kung University (NCKU), one of the best institutes in Taiwan, invites applications in all areas of Physics for tenured/tenure-track
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optimisation Experience in one or more of the following areas would be advantageous: EO or geospatial data analysis, parallel or distributed computing, GPU programming, Linux and containerised
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Scaling analog in-memory computing towards large generative AI models H/F Subject Your work will span device-to-algorithm co-design, focusing on state-of-the-art small language model engineering and
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two companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting
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French National Institute for Health Research (INSERM) | Lille, Nord-Pas-de-Calais | France | 30 days ago
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that captures CO2 directly from the atmosphere. It is highly scalable, can be deployed in a wide range of locations, and enables accurate monitoring of the removed CO2. When combined with permanent
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end, the PhD candidate will analyze state-of-the-art multi-scale electrophysiological data using modern analysis techniques construct data-informed stochastic and deterministic simulations of activity
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, scientific computing, and emerging AI. The project tasks will include resource-aware training methods and hardware implementation, including the design, implementation, and verification of KAN accelerator