21 machine-learning-"https:" "https:" "https:" "Computer Vision Center" Postdoctoral research jobs in United States
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- Carnegie Mellon University
- University of North Carolina at Chapel Hill
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- NYU Langone Health, Skok Lab
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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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. Interacts with interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a
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. Interacts with interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a
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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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Scholar with strong expertise in computer vision, multimodal AI, machine learning, and/or agentic AI to help build the next generation of intelligent digital health solutions. You will work side by side
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year’s search is on faculty with expertise in Quantum Computing with particular focus on Quantum Algorithms, Quantum Artificial Intelligence/Machine Learning, and/or Quantum Security. The successful
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top-tier venues and will have dedicated time for advancing their own research. The project is in collaboration with CCL (The Center for Connected Learning and Computer-based Modeling, PI Uri Wilensky
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advanced deep learning and machine learning algorithms Assist with organizing large-scale multimodal neuroimaging datasets, brain imaging quality control, and processing Assist with grant applications
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advanced deep learning and machine learning algorithms Assist with organizing large-scale multimodal neuroimaging datasets, brain imaging quality control, and processing Assist with grant applications
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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