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collaborations. Practical experience with waste materials, and experience in laboratory work related to microplastics and/or chemical risk assessment is a large plus. A proactive and independent work style. A
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This project explores the use of state-space models (SSMs) for sequence modeling in large language models (LLMs), focusing on their CMOS-based hardware implementation. The PhD candidate will develop energy
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professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
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research team. The PhD candidate will be responsible to: Define data modeling requirements for the datasets in the project and apply FAIR principles. Review existing data sources, set quality standards, and