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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 9 hours ago
areas: computer vision, computer graphics, and deep learning. We require documented experience about computer vision, machine learning, deep learning or optimization, demonstrated by high-quality
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 9 hours ago
, continual learning, computer vision, and natural language processing. We require documented experience about computer vision, machine learning, deep learning or optimization, demonstrated by high-quality
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interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong
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interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong
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in machine learning, with preference for expertise in representation learning, deep embeddings, contrastive learning, or foundation models. Solid background in linear algebra, probability, and
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Track record of publications in Artificial Intelligence and Deep Learning in peer-reviewed conferences and journals, specifically in Computer Vision and/or Natural Language Processing Proficiency in
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with advantage for experience in conducting research on healthcare data. - Experience in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) particularly in Natural Language
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Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Computer Engineering, Computational Science, Data Science, Management Information
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-omics. • Machine-learning approaches including feature extraction, clustering, predictive modeling, deep representation learning, changepoint detection, or generative modeling. • Workflow automation
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Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site Real-World Data: https://www.fda.gov/about-fda/oncology-center-excellence/cardioonco-ai-ai-empowered-cardiotoxicity-risk