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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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the open-source finite-difference framework Xcompact3d. You will perform high-fidelity simulations of large-scale wind farms using the wind farm simulator using a wide range of hardware (including CPUs and
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, including music generation, production, and analysis. The candidate will join a highly dynamic team of researchers that spans across different departments at Duke University and other research universities
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. First, efficient and scalable training procedure are still needed, irrespective of whether the training is done off-line on a traditional GPU-based architecture, on neuromorphic hardware. Second
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of neuromorphic systems for different types of onboard sensing and processing tasks in the space environment. Your research will be guided by your own expert judgement and insight into current trends in AI hardware
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
techniques and approaches to difference image analysis, survey-scale photometric calibration and detrending, periodicity searches, and/or other areas. A negotiable fraction of this role is reserved
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
techniques and approaches to difference image analysis, survey-scale photometric calibration and detrending, periodicity searches, and/or other areas. A negotiable fraction of this role is reserved
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profiler . Experience with GPUs is a bonus. Of course, you need fluency in written and spoken English to communicate your ideas in this interdisciplinary project. Note that we expect from candidates either