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to misinformation, malicious deepfakes, copyright, ownership, attribution, and accountability. The project addresses these challenges by developing methods for detecting the origin and authenticity of generated and
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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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design new AI-supported experimental or observational research methods to understand the foundations of social life . In particular, we will focus on the microfoundations of social networking—why do we
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manufacturing (printing, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR
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, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR, Raman, XAS, SAXS, etc
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‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods will be designed for near‑term (NISQ‑era) deployment, with models evaluated for expressivity, training stability
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: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods