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software scientist at the scientific software unit at KTH Center for Scientific Computing (KCSC). The position is funded by SSF within the SEESSI initiative, which aims to ready Sweden’s flagship codes in
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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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mixing. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source releases of software, trained models, and reproducible research
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We are offering a postdoc position in an exciting national project focusing on software security, with great opportunities for collaborations with top researchers in cybersecurity, program analysis