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biologically-inspired deep learning and AI models (NeuroAI). The computational models we work with include vision deep learning models (including topographical, recurrent, or developmentally inspired models
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
position will include, but is not limited to, multimodal+embodied semantics, human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning. The duties of the postdoctoral
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Posting Details Position Details Title American Religion Postdoctoral Scholar Appointment Status Non-Tenure Track Department IU Bloomington Center Religion and the Human Location Bloomington
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 12 hours ago
. The successful candidate will work on designing and training advanced deep learning models (e.g., U-Net, Vision Transformers) using multi-modal EO datasets (optical, radar, thermal, LiDAR) to generate high
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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) for science with Dr. Aleksandra Ciprijanovic (alexciprijanovic.com) and her research group! The successful candidate will join a multidisciplinary team working at the intersection of deep learning, cosmology
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systems. Ths position requires a deep understanding of X-ray Absoprtion Spectroscopy and prior experience with methods of machine learning and artificial intelligence. A highly competitive candidate would
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employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more
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computer vision tools (e.g., MediaPipe, OpenPose, homography estimation, optical flow). Experience with eye-tracking data collection or analysis. Familiarity with deep learning frameworks (PyTorch
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of Ghent University (http://www.ugent.be/en ) and Ghent University Global Campus (http://ghent.ac.kr/ | http://www.ugent.be/globalcampus/en ) to learn more about our organizations. Center forBiosystems