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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 Research Fellow
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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 watermarking for AI
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detection are necessary. This project develops watermarking methods and software for speech and audio generative models, focusing on robustness and suitability for open-source use. Your role and goals As a
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find the best match between candidates and supervisors, all applicants need to describe their research interests. All applicants should include all of the following attachments to their application
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designed to achieve the following training objectives for our doctoral researchers: Equip them with core scientific skills and specialised knowledge in designing experiments for demonstrating space
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performance analyses for backscatter-assisted non-line-of-sight positioning Applying detection and estimation theory to questions such as detectability, identifiability, positioning accuracy, and robustness
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to monitor low earth orbit space objects. What you’ll do You’ll actively identify partners for the project and negotiate with them. You also investigate an prepare commercialization paths to meet the potential
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find and assess the most promising habitable exoplanets around solar-like magnetically active stars? Join us to build next‑generation GPU‑accelerated models of stellar dynamos and connect them
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/relevance to this call. Please notice that the maximum size of the file is 5MB. Motivation Letter including your vision for the field TENK-compliant CV (link to the template ) Teaching Portfolio according
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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, spatio-temporal mapping