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applications and services for teaching and learning. We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
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., deep neural networks) will be used to automatically learn the system dynamics and the modelling errors, as well as to obtain an automatic tuning of the cost parameters/constraints or approximators
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HKUST, please visit: https://hkust.edu.hk The HKUST School of Medicine HKUST is embarking on a landmark initiative to establish the third medical school of Hong Kong following the successful proposal
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Electronique, Energie, Automatique (EEA) ou équivalent. Le candidat doit posséder un bon niveau en mathématique et des connaissances en traitement du signal. Des connaissances en machine learning/deep learning
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learning, and Chinese history and culture. Ideal candidates should possess strong programming skills and solid understanding of AI methodologies, along with a deep engagement with humanistic inquiry and its
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learning Other Required Qualifications Current, valid, and unrestricted driver's license Required Experience Five (5) years of experience in education or nonprofit leadership position Relevant experience in
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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(PyTorch, scientific Python) with solid experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image
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of Informatics. You will be part of Visual Intelligence and the DSB group. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-deep-learning