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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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: Developing signal models, algorithms, and performance analyses for backscatter-assisted non-line-of-sight positioning Applying detection and estimation theory to questions such as detectability
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: Developing signal models, algorithms, and performance analyses for backscatter-assisted non-line-of-sight positioning Applying detection and estimation theory to questions such as detectability
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-term performance of individual agents; Developing change detection algorithms to infer when a policy is no longer valid and needs to be adapted; Implementing efficient policy-adaptation algorithms with
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; Developing change detection algorithms to infer when a policy is no longer valid and needs to be adapted; Implementing efficient policy-adaptation algorithms with safety guarantees; Integrating those
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autonomous machines to operate safely in human-robot shared industrial spaces. The research will model how people and machines move through dynamic environments to support human detection and tracking
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detection, and integrated with the optical cavity devices developed in the project. The goal is the optical addressing and readout of single spin ions , working towards two spin ions entangled through a