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Field
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FDSOI devices for neuromorphic computing applications Develop and optimize semiconductor fabrication processes in a state-of-the-art cleanroom environment Perform electrical characterization and analyze
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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of gene therapy manufacturing and process innovation. The project focuses on the development and optimization of scalable bioprocesses for viral vector production and downstream purification and
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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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the development and optimization of products for a variety of industries from automotive to aerospace made from new bio- and waste-derived plastic resins and fillers. The ideal candidate for this role would be
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AI processes (e.g., model training, inference). Develop agentic AI systems and AI harnessing techniques to enhance model quality, resource optimization, and adaptive execution in diverse workflows
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. Design, optimize, troubleshoot, and document experimental protocols while maintaining accurate laboratory records and ensuring scientific rigor and reproducibility. Prepare manuscripts for publication
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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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, simulate, and optimize integrated photonic circuits using micro-nano-structured materials for optical processing, routing, switching, and modulation functionalities. Develop and experimentally validate
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 12 days ago
forward models of polarized EUV emission with practical instrument design to establish measurement requirements and optimize observational performance. This work will be performed in close collaboration