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Requisition Id 16723 Overview: We are seeking a Postdoctoral Research Associate with expertise in artificial intelligence (AI) and machine learning (ML) for multiscale physical systems
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demonstrating advanced manufacturing technologies related to machining processes, machine tool performance, process monitoring, machine tool metrology, and/or manufacturing system integration. The successful
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multiple institutions to collaboratively support scientific advances guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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the hardware that enables the next generation of intelligent robots to physically sense and interact with their environment. Job requirements You hold a PhD in Electrical Engineering, Microelectronics
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atmospheric science or a related field. Experience with numerical modeling. Knowledge of atmospheric dynamics and precipitation process. Brief Description of Duties: The Postdoctoral Associate will conduct
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experimental and on-farm datasets from corn and soybean production systems. Process and interpret drone-based and remote sensing imagery. Conduct APSIM simulation modeling and related analyses. Investigate
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of physical and chemical characterisation/testing of products. Data collection, interpretation and professional report writing skills are required. For an informal discussion about the post please contact Prof
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to improve ecosystem-based assessments of SRKW habitat use and characterize prey communities. The Postdoctoral Scholar (PDS) will be physically located in Seattle, WA, joining an established team of fisheries
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atmospheric science or a related field. Experience with numerical modeling. Knowledge of atmospheric dynamics and precipitation process. Brief Description of Duties: The Postdoctoral Associate will conduct