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, to develop artificial intelligence and machine learning (AI/ML) models that predict therapeutic response, identify clinically actionable patient subgroups, and support personalized treatment
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develop computational pipelines and implement data analytical models to integrate spatial single-cell genomics and bulk (epi)genomics. Candidates with expertise in machine learning approaches for
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. Experience developing or applying machine learning, statistical modeling, or artificial intelligence methods to complex biological, clinical, or engineering problems. Familiarity with multi-omic data
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