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to focus on open-source processor and accelerator architectures. The role focuses on advancing research in integrated circuit (IC) design and electronic design automation (EDA), with particular
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advancing neuroimaging research through the development of open-source software and data-sharing platforms. The role involves developing AI-driven neuroimaging data processing, automation, and open
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suitability for open-source use. Your role and goals As a Postdoctoral Researcher, you will take primary responsibility for developing deep content-based watermarks for audio and work jointly with a doctoral
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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
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Searches, alerts CDI/CDD offers open to CEA work-study students Our Thesis subjects A question ? Check our FAQ Log in Candidate area I already have a candidate area Log in to candidate area : Required
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database hosted at https://potentials.nist.gov/ . Calculation methods will be integrated into the iprPy calculation framework [1], with source code available on github . [1] L.M. Hale, Z.T. Trautt, and C.A
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Position Summary The TARDIS collaboration is actively applying and extending the Monte Carlo radiative-transfer open-science framework TARDIS (https://tardis-sn.github.io/) to model the physics of
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, and contributing to open-source releases of software, trained models, and reproducible research outputs. The research methods will include experiment design, software implementation, running deep
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, adversarial attacks, and realistic downstream processing such as mixing. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source
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semantics, the development of AI-assisted proof engineering workflows, and the open-source release of specifications, proofs, and verified artefacts. We seek an excellent software engineer to play a