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by integrating large-scale single-cell foundation models with structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under
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datasets (e.g., RNA-Seq, epigenetics, cancer genomics, or metabolomics). Statistical Knowledge: Strong understanding of algorithmic, statistical, and ontological concepts in biology. Communication: Excellent
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into clinically actionable biomarkers and decision-support tools that underpin the project's personalized treatment algorithms. For further information, please contact Prof. Dr. Antonio del Sol, antonio.delsol
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using both physical and machine learning-based algorithms. Strong interpersonal and communication skills and the ability to work both independently and collaboratively with researchers and students from