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conventional agriculture-based alternatives. This project will pioneer the development of a high-resolution waste-derived novel biotechnology feedstock-host background data generation to enable sustainability
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Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners Responsibilities and
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), we are seeking an excellent and highly motivated PhD candidate to work on exploring connections between quantum mechanics and gravity, in particular on theoretical development of potential low-energy
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generation sequencing Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners
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. The candidate will work across multiple projects that share a common foundation in sensing and control of soft robotic systems. The research will focus on developing simulation and digital twin frameworks