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computational simulations to understand how bacteria communicate, acquire nutrients, and cause disease—and to translate these mechanistic insights into new strategies for targeting bacterial virulence
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State University and work closely with I-CREWS researchers across the state. The position emphasizes developing, integrating, and applying modeling approaches-including machine learning (ML), hydrologic
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Engineering. The Postdoctoral Research Fellow will lead the development and characterization of multiplexed electrochemical biosensors designed for the high-resolution detection of drugs, biomarkers, and
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hardware Experience with atomic layer deposition and process development Experience with thin film and materials characterization Strong background in computational materials science and machine learning
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. ● Ability to acquire accurate, reproducible data. ● Critical eye towards consistency, reproducibility, and the scientific method in general. ● Excellent project and time management skills. ● Strong