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main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications
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for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in
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(GSI) systems for urban communities. This project addresses the growing need for sustainable stormwater solutions by integrating cutting-edge AI technology, real-time monitoring, and data from
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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for Analytical Dynamic Sys Position Summary: Our research team has an immediate opening for a postdoctoral fellow to participate in an exciting project in biomedical modeling and diagnostics, funded by National
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Systems research. Individual will be responsible for all nutrient and metals analytical testing, works with PIs to conduct quality control on data, and maintains data records. Individual ensures that all
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must have: a Ph.D. degree in environmental chemistry, chemical engineering, environmental engineering, polymer engineering, or related fields; experience in using analytical instruments (IC, UPLC, GC/MS