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, or behavioral data) and be proficient in Python and modern deep-learning frameworks (ideally PyTorch). Experience in computer vision, multimodal data fusion, self-supervised or generative modeling is highly
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samples. Apply machine learning and deep learning techniques to automate segmentation and quantitative analysis of tomographic refractive-index data from cells and tissue samples. Apply the developed
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generation of scientists trained in interdisciplinary collaborative approaches. The Faculty Research Assistant will work with professors, postdoctoral fellows, graduate students, and undergraduate volunteers
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/admittance, force control Experience with Artificial Intelligence and deep learning concepts for robotics computer vision, tactile sensing, reinforcement learning Experience with robotic simulation tools e.g
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systems capable of understanding, learning, and acting in complex, dynamic settings. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation
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machine learning (ML), as well as AI-enabled science. Specifically, our goals are to pioneer cutting-edge technical research that will transform current AI paradigms, bring about deep understanding of AI
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Postdoctoral Associate - National Tutoring Observatory, Information Science The National Tutoring Observatory (NTO) will be centered at Cornell’s Ann S. Bowers College of Computing and Information
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connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay
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core areas of AI and their applications including: Computer Vision, Natural Language Processing, Robotics, Machine Learning, Data Analytics, FinTech, Smart Cities, Connected and Automated Vehicles, Cyber
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The Advanced Photon Source (APS) (https://www.aps.anl.gov/ ) at Argonne National Laboratory (Lemont, Illinois, US (near Chicago)) invites applicants for a postdoctoral position to develop and