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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
Engineering, Systems Engineering, Data Science, or a closely related field Experience with artificial intelligence, machine learning, physics-informed neural networks, or reduced-order modeling (ROM
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. The postdoc will develop operating procedures for the instrument and train users. The postdoc will work with undergraduate and graduate students. Essential Functions Design, build, and test L-band resonators
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-generation permanent magnets using a powerful combination of high-throughput computation, machine learning, rapid synthesis and efficient characterization. This position requires expertise in synthesizing and
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Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2024-Guthrie How to Apply A complete application consists of: An application, including academic history, work
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analytics, including correlation analysis and machine learning techniques. Preferred Qualifications: Experience with microstructure characterization techniques (SEM, EBSD, TEM, XRD). Experience in mechanical
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College of Agriculture and Life Sciences (CALS), where full-time faculty and other renowned professionals direct world-class, mission-driven programs. Staff at the Lab teach undergraduate courses, advise
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genetically diverse mice under a multitude of conditions, and (3) develop multimodal machine learning models and methods to determine signatures and biomarkers to understand mechanisms distinguishing
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Posted on Tue, 08/04/2026 - 10:36 Important Info Faculty Sponsor First name: Emmanuel Faculty Sponsor Last Name: Mignot Stanford Departments and Centers: Psychiatry Postdoc Appointment Term: 2 years
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Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2026-Gamwo How to Apply A complete application consists of: An application, including academic history, work
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at Carnegie Mellon University invites applications for a postdoctoral researcher to lead projects at the interface of computational chemistry, machine learning, reaction mechanism elucidation, and automated