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Field
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have DISTINCT temporal architectures, and self-excitation indexes withdrawal severity (including anxiety-like, negative-affect-proxy behaviors) better than rate-based scores. We further hypothesize
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 21 days ago
reaction mechanisms and photochemical processes including pulsed laser photolysis combined with UV-VisIR absorption spectroscopy, laser induced fluorescence and mass spectrometry (electron impact and
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two complementary research groups - Advanced Doped Diamond Materials (AD2M) and Gas Sensors and Functional Materials (GSFM) - the department develops high-quality thin films with tailored structural
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place in a collaborative, mission-driven research environment that values technical creativity, rigorous engineering, scientific impact, and teamwork. The group works on practical AI systems that connect
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the Candidate's scientific and teaching achievements, including a list of publications complete with ranking scores such as the Impact Factor, the place on the Polish Ministry of Science and Higher Education
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. Empa is a research institution of the ETH Domain. Empa’s Centre for X-ray Analytics develops X-ray analytical and imaging methods for understanding materials structure in material, life- and medical
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models for high-temperature structural materials with applications in nuclear reactors and other energy systems. The candidate will collaborate with ANL staff to review, validate, and enhance methods
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precision-aligning free-space optical bench components. Theoretical Foundations: Robust prior experience with the numerical modeling and design of optical or electromagnetic wave structures. Departmental
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scholars pursue research excellence at the highest international level while remaining committed to generating knowledge that informs policy, improves practice, and creates societal impact. The department
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related to magnetic materials, experience with first-principles electronic structure methods and proven expertise in developing and/or applying advanced AI/ML methods for accelerated materials discovery