4 condition-monitoring-machine-learning Postdoctoral positions at Boise State University
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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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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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work closely with I-CREWS researchers across the state. The position emphasizes developing, integrating, and applying modeling approaches—including machine learning (ML), hydrologic and energy systems
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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