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programming, Bayesian deep learning, causal inference, reinforcement learning, graph neural networks, and geometric deep learning. In particular, you will be part of the Causality team under the supervision
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, or interaction for robotic systems Deep learning or applied machine learning for robotics Practical experience with robotic hardware, software development (e.g., Python, ROS, PyTorch, TensorFlow), and AI-based
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demonstrates innovation, rigor, and deep engagement with contemporary performance, and interdisciplinary collaboration. The candidate’s creative research, scholarship, and/or experimental methodologies should be
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an annual budget of 17 MCHF and about 170 researchers and collaborators, Idiap is today a key Swiss research institute in multiple AI fields, including machine learning (including deep learning, foundation
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, and deep engagement with contemporary performance, design theory, and interdisciplinary collaboration. The candidate’s research, scholarship, and experimental methodologies should be globally informed
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data and models (mainly imaging data), with particular emphasis on fairness and privacy. Duties and responsibilities may change over time. The successful candidate will be part of the Deep Data Mining
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application process here. About the position Technology development in geothermal energy and deep drilling has accelerated significantly in recent years, with major advances occurring in North America and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 11 hours ago
. Description: This project aims to develop a next-generation wildfire risk assessment platform that tightly integrates Earth Observation (EO) data, deep learning, and dynamic fire behavior modeling
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. Hu, X. Wei, X. Wu, J. Sun, J. Chen, Y. Huang, J. Chen, A deep learning-enhanced framework for multiphysics joint inversion, Geophysics, 88(1), K13-K26, 2023. https://doi.org/10.1190/geo2021-0589.1 [3
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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