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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 14 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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science, biomedical engineering, applied mathematics, statistics, a quantitative biological discipline, or a related field. Demonstrated research experience in machine learning or computer vision
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record in AI, machine learning, computer vision, digital health, biomedical engineering, medical AI, or a closely related area. Expertise in one or more areas such as deep learning, computer vision
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to University and unit-level policies and procedures and safeguards University assets. Develop various machine learning and data mining models including deep convolutional neural networks (CNNs
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Environmental and Occupational Health or Biomechanics. Preferred Qualifications 4 years or longer lab experience Strong programing skills Machine learning and deep learning modeling Expertise in 3-D
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Environmental and Occupational Health or Biomechanics. Preferred Qualifications 4 years or longer lab experience Strong programing skills Machine learning and deep learning modeling Expertise in 3-D
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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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artificial intelligence and dental health, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision
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OSU | about 2 months ago
artificial intelligence and dental health, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision
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large-scale models Expertise in at least one of computer vision, speech recognition, or multimodal learning, with experience in real-world technology deployment Experience with human-in-the-loop