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Field
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to a Sustainable Open Source Ecosystem" (NSF POSE). This is a 12-month appointment at 100% effort, with the possibility of renewal contingent on satisfactory performance and continued funding
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development of open-source, machine learning–based software for inferring evolutionary history from genomic data. Design and run population genetic simulations to generate training data and validate theoretical
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 17 hours ago
), dissemination (publications, open-source releases, conference talks such as FOSDEM), and open-science practices (HAL, Software Heritage, Zenodo, artifact submissions) Where to apply Website https://jobs.inria.fr
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' experiences and needs, leading to academic findings and an open-sourced, co-designed software for qualitative research. The postdoc will lead research activities across the project's three goals and publish in
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employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other
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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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permanent magnet. You will use our state-of-the-art open source micromagnetic model MagTense to perform this modeling work. You will research determining the ideal microstructure, for example grain size
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Position Highlights The Lunar & Planetary Laboratory at the University of Arizona has an opening for a Postdoctoral Research Associate in the field of planetary atmospheres. The postdoctoral researcher will
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale and bring value to society in the form of new
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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