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The QD group is looking for a highly motivated Postdoctoral Researcher to work on advances in controlling the emission properties of organic light-emitting diodes using nanoparticles embedded
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of collaborative watermarking to diffusion models and audio language models based on neural audio codecs. Studying whether watermark information can be embedded in long-term content, such as speech semantics
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standard practices. Your network and collaborators You will work closely together with the PI, his group of three Ph.D. students, and his international colleagues. You will also be embedded in the vibrant
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. The OCAMM community of more than 10 researchers working on this project will benefit from strong internal interaction as well as networking with the participating companies and other companies embedded with