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prototypes and actively optimizing the engineered solutions. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists, research engineers, graduate research students and
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. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects
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conducting experiments, performing behavioral and molecular phenotyping, and optimizing delivery and safety of CRISPR/Cas9-based tools. In addition, candidates will contribute to the analysis of single-cell
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