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of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference code: 980 - 2026/WD 1
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with strong expertise in machine learning for cyber-physical systems and a solid understanding of electric power distribution systems, and microgrid operations. The selected candidate will develop and
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The Department of Statistics is recruiting to a Florence Nightingale Bicentenary Fellow in Statistical Machine Learning. This is career development positions intended to carry around half the
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Woods Hole Oceanographic Institution | Woods Hole, Massachusetts | United States | about 1 month ago
outputs, developing and evaluating machine learning methods for sound processing (including deep learning approaches such as convolutional neural networks and transformers), and testing detector performance
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program. Job Requirements: Preferably Master’s degree in Physics, Computer Science, Engineering, Mathematics, Machine Learning or relevant fields. Experience in interdisciplinary research involving physics