AI-Driven Design of Synthetic Phase-Separating Systems

Molecular Biophysics › AI Phase Separation Biophysics Research

AI-Driven Design of Synthetic Phase-Separating Systems

Interns will use computational design algorithms and machine learning to engineer synthetic peptides and protein domains with tunable phase separation properties. They will validate computational predictions through collaboration with experimental labs and iterate designs based on biophysical characterization data.

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