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level or equivalent in computer science, mathematics, or a related field, corresponding to at least 240 higher education credits. Knowledge in graph theory, classical/parameterized complexity, and
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covers kinetic theory, non-local diffusion and dynamics on graphs. The precise research direction will be determined together with the successful candidate upon personal background and interests
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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
Searches related to mathematics graph theory
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