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) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from
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at the single-cell level, using tools from optimal transport, mathematical optimization, and machine learning. In addition to method development, the work includes applying and benchmarking algorithms on both
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, chemistry, engineering, and physics. The department has over 200 employees, including around 60 doctoral students. Please read more about our work at https://icm.uu.se . Project Description This PhD position
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