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properties through tuning of concentrations and types of viscosity modifiers and superplasticizers, deep learning modeling of parameters of cement composites. The project is realized at the Bydgoszcz
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large-sample hydrology (LSH) datasets, deep learning rainfall-runoff models, and hydrological alteration analyses, with the ultimate goal of improving the identification and management of ecological flows
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) Position Description: Apply Position Description Faculty, National Math Camps (Summer Role) National Math Camps is seeking passionate and energetic math faculty to help us inspire and teach mathematically
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mathematics Appl Deadline: (posted 2025/12/11, listed until 2026/01/16) Position Description: Apply Position Description Postdoc in Algebra-Geometric Foundations of Deep Learning or Computer Vision KTH Royal
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. N. Hilton College Ambassadors student organization. • Trains and supervises student recruitment staff. Experience: • Extensive experience and deep knowledge of admission requirements, deadlines
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Information Technology (UFIT) enables teaching, learning, research, and service on campus and across the region with state-of-the-art enterprise IT systems, including SEC and SUS universities, and the opportunity to teach
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Physics with applications to Material discovery and quantum chemistry - Gen AI designing materials with target properties Astrophysics and cosmology: Deep learning for telescope image analysis
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | about 13 hours ago
). Label-driven / weakly-supervised CNNs for multimodal deformable registration (arXiv / MICCAI threads) — key papers showing deep learning approaches for fast, deformable registration. https://doi.org
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-fellow-in-deep-learning-for-subsurface-imaging Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/290391/postdoctoral-research-fel… Requirements Research FieldComputer scienceEducation
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subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due