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deep neural activity, using methods that combine physics (waves in complex media) and computational approaches. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8552-SYLGIG-011
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techniques to solving complex problems within the energy systems. The candidate should have a strong foundation in deep learning techniques (including convolutional neural networks, recurrent neural networks
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University of California, San Francisco | San Francisco, California | United States | about 2 hours ago
agreement. The salary range for this position is $140,000 - $201,800 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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Your Job: Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep
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is seeking a Mentor Coaching Consultant. This is a part-time, 0.49 FTE, 12-month, professional faculty position. The position will work with the Early Learning System Initiative (ELSI, website: https
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leadership, underpinned by deep expertise in flow through porous media, with demonstrated interest in and ability to teach courses across our EME undergraduate and graduate programs aligned with
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, undergraduate and executive levels, all of them enriched by the dynamism and deep resources of one of the world's business capitals. NYU Stern is a welcoming community that inspires its members to embrace and
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computational approaches to biological systems. Its core activity is the development of deep learning methods for protein design and optimization, with applications in biology and medicine. - activities: We
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to contribute to an innovative research program at the intersection of artificial intelligence and scientific advancement. This position demands a deep understanding of both the fundamental AI and its
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use, utilizing innovative binary file analysis and deep learning to improve the security of computer systems. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5104-MYRLAU-003