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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
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without knowledge of the deciphering key, offering significant potential for privacy-preserving deep learning. However, conventional neural networks are not well-suited to the computational constraints
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical
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business day, and they focus exclusively and intensively on their clients, cases, and projects. This model allows for highly intentional, reflective, and iterative work and the ability to provide deep
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& Responsibilities: Develop advanced deep learning methods for radiology or pathology medical imaging Integrate imaging data with EHR, clinical notes, or genomic data Conduct research on segmentation, classification