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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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refine LCA models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental
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-on experience in nano- and OLED fabrication, characterization and electronics is required. The applicant should hold (or expect soon) a PhD degree in a suitable field. Good command of English (both verbal and
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addition to research, you will also be expected to take part in the supervision of PhD students and the teaching activities of the research group. Your network and team Currently, our research group consists of 1
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other group members in the lively environment of the MQS group, and to publish them in high‑impact journals. In addition to research, you will also be expected to take part in the supervision of PhD
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and social sciences and interact with city officials and developers Your experience and ambitions PhD in a relevant field (e.g., planning, urban studies, economics) Demonstrated expertise in housing
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; Ability to interact with data and software programmatically (for example, familiarity with Python scripting) Strong command of written and spoken English, including the ability to effectively communicate