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Field
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability
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-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs. The successful
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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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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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. 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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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 16 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
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 16 days ago
for integration into ongoing and future NASA field campaigns. We are seeking postdoctoral candidates with a strong background in laboratory instrumentation, RF engineering, signal processing, or related fields who
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-optimization of industrial end-use systems and energy supply systems. Build reproducible computational workflows for data processing, model development, calibration, validation, and scenario analysis. Develop
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biological approaches, in vitro cell culture systems, and novel mouse models. Optimal candidates will have experience with immunometabolism and use of these techniques and models. The overall goal is to