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(iii) complex architectures with tightly coupled components hinder modular adaptation. To address these limitations, we research a physics-guided machine learning framework that integrates physical
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multiscale approaches to uncover how physical forces (external and intracellular) reprogram subcellular architecture and gene expression, advancing nanotherapeutics and regenerative strategies. We invite
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to changes in ciliary architecture and function. The successful candidate will work at the interface of molecular biology, quantitative imaging, and biophysics, developing transgenic worm strains, integrating
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