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Field
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to support a two-year Small Business Technology Transfer project (STTR) funded by the National Science Foundation. The successful candidate is expected to support the development, simulation and
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. Applications will be processed on an ongoing basis until all positions in this prestigious inaugural cohort are filled. Candidates seeking to bridge multiple disciplines or bring AI into new scholarly/societal
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
Ideal candidates should hold a Ph.D. in Electrical Engineering, Applied Physics, Physics, or a closely related field. Required expertise includes design and simulation of integrated photonic components
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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This position will be dedicated to research projects aiming developing and implementing experimental focused application of AI and automation tools for unraveling fundamental interfacial processes
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: Zintellect Profile and responses to opportunity-specific questions. Transcripts/Academic Records - For this opportunity, an unofficial transcript or copy of the student academic records printed by
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28, 2026 Purpose: Applications are invited for a new Postdoctoral Scholar position in mathematical physics and electromagnetic (EM) theory/modeling, at the Electrical and Computer Engineering
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, interested candidates should send a cover letter and a copy of their CV to Administrative Coordinator Pooja Arshanapally at [email protected] . The above statements are intended to describe the general nature
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This position will be dedicated to research projects aiming to unravel the fundamental interfacial processes in membrane and ionomer materials employed in energy conversion systems such as critical
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molecular dynamics simulations, applicable to materials science, biomolecules, or a related field. Programming experience (e.g., Python), with a strong background in developing and applying computational