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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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Marie Skłodowska-Curie Doctoral Network, runs from 2026 to 2030, and trains 15 Doctoral Candidates (PhD students). The DN targets developing software-defined technologies that turn edge data centers
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releases of software, trained models, and reproducible research outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high
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Department of Electrical Engineering and Automation at Aalto University, Finland, within a project focused on implementing advanced models of soft magnetic materials in accurate simulation software. The
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vision, control, or a related field (candidates close to completion are considered), a publication record in venues such as ICRA, IROS, RSS, CoRL, RA-L, T-RO, NeurIPS, or ICLR, and strong software
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Learning Your role and goals Trustworthy & Adversarial Computing Lab ( https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to pursue a degree in
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completion are considered), a publication record in venues such as ICRA, IROS, RSS, CoRL, RA-L, T-RO, NeurIPS, or ICLR, and strong software skills. Experience with physical robots and an interest in working
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also offers access to a wide suite of engineering and simulation software for electronics design, spacecraft systems modelling, structural and thermal analysis, and mission performance verification
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production) CAD and CAM software in an industrial context Basics of prototyping including model making In addition to teaching, duties typically include participating in the development of teaching, design
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intelligence Computational Science Human-Centric Computing Software Systems Position details Positions are intended for researchers who have recently completed their doctoral degree or who will complete