Conduct fundamental and applied machine learning research to develop physiological world models for human biology. Design novel architectures for multi-modal clinical telemetry and build robust evaluation benchmarks for disease trajectory predictions. Requires a PhD in Computer Science, Machine Learning, or a related field with at least 2 years of experience in building adaptive systems and foundation models. Candidates must have a strong research background with first-author publications in top machine learning venues.
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