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contact-rich, deformable object, and multi-object manipulation, and data-efficient adaptation to new tasks and embodiments. 2. Fault prediction and reliable autonomy : data-driven condition monitoring
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manipulation: imitation and reinforcement learning of contact-rich, deformable object, and multi-object manipulation, and data-efficient adaptation to new tasks and embodiments. Fault prediction and
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-rich, deformable object, and multi-object manipulation, and data-efficient adaptation to new tasks and embodiments. Fault prediction and reliable autonomy : data-driven condition monitoring
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Bayesian machine learning and computational biology. Your network and team Dr Martinelli is an independent Research Fellow supported by an Academy Research Fellowship of the Research Council of Finland
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), and ELLIS Institute Finland. You will be supervised by Dr Julien Martinelli and Associate Professor Harri Lähdesmäki. The position offers a broad local research network in Bayesian machine learning and
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Associate Professor Harri Lähdesmäki. The position offers a broad local research network in Bayesian machine learning and computational biology. Your network and team Dr Martinelli is an independent
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excited about speech and audio AI, deepfake detection, and the question of how we can identify the origin of AI-generated content? We are looking for a Doctoral Researcher to join the funded project
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, deepfake detection, and the question of how we can identify the origin of AI-generated content? We are looking for a Doctoral Researcher to join the funded project COWAMA: Content-based
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additional layers of technical disclosure and detection are necessary. This project develops watermarking methods and software for speech and audio generative models, focusing on robustness and
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technical disclosure and detection are necessary. This project develops watermarking methods and software for speech and audio generative models, focusing on robustness and suitability for open-source