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materials. These systems are instrumented and connected through a unified digital thread platform that captures multimodal, high-frequency data across the full manufacturing lifecycle, from process execution
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. The candidate will apply a suite of statistical and physical models for integrating observations of different accuracies, improving predictions of future hazards. The work will further include research, writing
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of agentic AI systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine physics-based modeling, machine
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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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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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. For more information, please speak with the Hiring Manager. If you have questions regarding this application process, please email [email protected], or call 515-294-4800 or Toll Free: 1-877-477-7485
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to process large-scale medical images and analyze multi-modal data effectively. · Excellent interpersonal skills, including a positive and professional orientation towards faculty, staff, university
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validating digital twins and conducting experiments using physical robotic platforms. RESPONSIBILITIES Research and Laboratory Coordination: 85% Conduct fundamental and applied research on autonomous multi
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. This position resides in the Soft Materials and Membranes Group in the Chemical Sciences Division, Physical Sciences Directorate (PSD), at Oak Ridge National Laboratory (ORNL). As part of our team, you will work
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● PhD (or foreign equivalent) in Applied Mathematics, Physics, Theoretical/Computational Biology